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Journal articles on the topic 'Aerial photography in agriculture'
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Tsench, Yu S., and N. I. Zakharova. "Trends in development of agricultural aerial photography technology." Agricultural Machinery and Technologies 17, no. 3 (September 19, 2023): 16–26. http://dx.doi.org/10.22314/2073-7599-2023-17-3-16-26.
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Aerial photography is becoming an integral part of remote sensing in digital agriculture. The first aerial photographs were taken in the mid-19th century. (Research purpose) The paper aims to retrospectively analyze the evolution of aerial photography equipment for capturing agricultural lands, beginning with the creation of the first aerial photograph up to the present day. (Materials and methods) A historical-analytical approach was employed to examine the existing literature. Within this study, the development of agricultural aerial photography equipment was categorized into four distinct time periods: 1885-1908, 1909-1945, 1946-1979, and from 1980 to the present day. (Results and discussion) In the initial phase of experimental aerial photographic equipment development, significant advancements were achieved, encompassing the emergence of the first photograph, the creation of portable cameras and their adaptation for use with hot air balloons and kites, rockets, and birds. Technological growth in the first half of the 20th century contributed to elevating aerial photography to a versatile tool applied for a wide range of intelligence operations, including agricultural tasks. The evolution of space technologies in the second half of the 20th century resulted in the rapid development of both aerial photography equipment and their carriers. This progress facilitated the use of color aerial photography for the examination of the Earth's surface. The advancements of digital technologies at the end of the 20th century and the beginning of the 21st century facilitated the use of high-resolution digital aerial cameras mounted on various carrier platforms, ranging from unmanned aircraft to artificial Earth satellites. (Conclusions) A retrospective analysis reveals that the development and creation of equipment for aerial photography of agricultural lands unfolded in a sporadic fashion. This progression was closely intertwined with global political, social, and economic situation, as well as the state of technological advancement in related areas. Over the coming decade, the sustained application of aerial photography in agriculture is poised to enhance the efficiency of unmanned aircraft, reduce the production costs associated with aerial photography, and facilitate the widespread adoption of digital remote sensing technology within the agricultural sector.
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Piekielek, Nathan. "A semi-automated workflow for processing historic aerial photography." Abstracts of the ICA 1 (July 15, 2019): 1. http://dx.doi.org/10.5194/ica-abs-1-299-2019.
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<p><strong>Abstract.</strong> Libraries, museums and archives were the original big geospatial information repositories that to this day house thousands to millions of resources containing research-quality geographic information. However, these print resources (and their digital surrogates), are not easily incorporated into the contemporary research process because they are not structured data that is required of web-mapping and geographic information system tools. Fortunately, contemporary big data tools and methods can help with the large-scale conversion of historic resources into structured datasets for mapping and spatial analysis.</p><p>Single frame historic aerial photographs captured originally on film (hereafter “photographs”), are some of the most ubiquitous and information-rich geographic information resources housed in libraries, museums and archives. Photographs authentically encoded information about past places and time-periods without the thematic focus and cartographic generalization of historic print maps. As such, they contain important information in nearly every category of base mapping (i.e. transportation networks, populated places etc.), that is useful to a broad spectrum of research projects and other applications. Photographs are also some of the most frustrating historic resources to use due to their very large map-scale (i.e. small geographic area), lack of reference information and often unknown metadata (i.e. index map, flight altitude, direction etc.).</p><p>The capture of aerial photographs in the contiguous United States (U.S.) became common in the 1920s and was formalized in government programs to systematically photograph the nation at regular time intervals beginning in the 1930s. Many of these photography programs continued until the 1990s meaning that there are approximately 70 years of “data” available for the U.S. that is currently underutilized due to inaccessibility and the challenges of converting photographs to structured data. Large collections of photographs include government (e.g. the U.S. Department of Agriculture Aerial Photography Field Office “The Vault” – over 10 million photographs), educational (e.g. the University of California Santa Barbara Library – approximately 2.5 million photographs), and an unknown number non-governmental organizations (e.g. numerous regional planning commissions and watershed conservation groups). Collectively these photography resources constitute an untapped big geospatial data resource.</p><p>U.S. government photography programs such as the National Agricultural Imagery Program continued and expanded in the digital age (i.e. post early 2000s), so that not only is there opportunity to extend spatial analyses back in time, but also to create seamless datasets that integrate with current and expected future government aerial photography campaigns. What is more, satellite imagery sensors have improved to the point that there is now overlap between satellite imagery and aerial photography in terms of many of their technical specifications (i.e. spatial resolution etc.). The remote capture of land surface imagery is expanding rapidly and with it are new opportunities to explore long-term land-change analyses that require historical datasets.</p><p>Manual methods to process photographs are well-known, but are too labour intensive to apply to entire photography collections. Academic research on methods to increase the discoverability of photographs and convert them to geospatial data at large-scale has to date been limited (although see the work of W. Karel et al.). This presentation details a semi-automated workflow to process historic aerial photographs from U.S. government sources and compares the workflow and results to existing methods and datasets. In a pilot test area of 94 photographs in the U.S. state of Pennsylvania, the workflow was found to be nearly 100-times more efficient than commonly employed alternatives while achieving greater horizontal positional accuracy. Results compared favourably to contemporary digital aerial photography data products, suggesting that they are well-suited for integration with contemporary datasets. Finally, initial results of the workflow were incorporated into several existing online discovery and sharing platforms that will be highlighted in this presentation. Early online usage statistics as well as direct interaction with users demonstrates the broad interest and high-impact of photographs and their derived products (i.e. structured geospatial data).</p>
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B. Andeli, Vrushali, and Shubhangi D. Mashalkar. "PHOTOGRAPHY WITH NANODRONE." International Journal of Engineering Applied Sciences and Technology 6, no. 8 (December 1, 2021): 183–85. http://dx.doi.org/10.33564/ijeast.2021.v06i08.030.
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Developments and modifications play a vital role in the technological advancements. Since last few years the aerial vehicles or drones have been a trending topic considering photography. Because of its wide range of applications and the day to day advancements in their feature drones have gained more popularity. In this paper, you will see how to build a Photography with nano drone, which can able to capture photo, video, flip image this application helps to make the rescuing process easy and safe, drones are implemented to extinguish the fire, disaster management, Agriculture, Aerial hotography, Movie production, measuring the scale of natural disaster, getting a glimpse of the unknown lands etc.
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Chymyrov, A. U., A. K. Bekturov, N. Y. Ismailov, and T. K. Urmambetova. "AGRICULTURAL CROP MONITORING BY USING SATELLITE IMAGERY AND AERIAL PHOTOGRAPHY." Heralds of KSUCTA, №1, 2022, no. 1-2022 (March 14, 2022): 43–52. http://dx.doi.org/10.35803/1694-5298.2022.1.43-52.
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The relevance of this article is adaptation and improvement of the modern approach to identifying and monitoring agricultural crops in Kyrgyzstan. The purpose of this work is to apply geographic information systems and remotely sensed data by using modern methods of monitoring agricultural land based on vegetation indices for the effective management of the country's agriculture. The results of such work makes possible to significantly reduce the implementation of ground-based experimental work and quickly carry out mapping of agricultural land and other land areas.
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Pisetskaya, Olga, Yanina Isayeva, and Maksim Goutsaki. "Application of Unmanned Flying Vehicle for Obtaining Digital Orthofotomaps." Baltic Surveying 11 (November 20, 2019): 60–69. http://dx.doi.org/10.22616/j.balticsurveying.2019.018.
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Nowadays, surveys using unmanned aerial vehicles is becoming popular. The resulting orthophotomap is the final product for creating digital plans and cardboard. The objectives of the study are to study the possibilities of obtaining orthophotomaps from survey materials using unmanned aerial vehicles based on the results of the experiment. The article describes various types of aerial photography. Some types of unmanned flying vehicles to conduct aerial photography for the purpose of monitoring, engineering surveys, inventory of agricultural land, and crop forecasts are considered. A description of aerial photography surveying is given on the example of the city of Dzerzhinsk, Minsk Region, which is performed taking into account the unmanned flying vehicles of GeoScan 201 and the Republican agricultural aero-geodesic unitary enterprise BelPSHAGI. A description of the GeoScan Planner software and basic pre-flight preparation is given. The stages of the preparatory work before the aerial photography, the creation of the planning and high-altitude geodetic justification, the implementation of aerial photography procedures, the steps of the aerial photograph anchorage procedure are considered. Agisoft Photoscan, which allows to get clouds of points, surfaces, 3D models and orthophotomaps using digital raster images are presented. The map of heights (DEM) of the terrain and the orthophotomap was made on the basis of a dense points cloud. According to the results of the research, a conclusion was made on the possibility of using aerial photography materials obtained using unmanned flying vehicles to get orthophotomaps of the required accuracy.
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Kim, Jae Sung. "The application of near-automated georeferencing technique to a strip of historic aerial photographs in GIS." Library Hi Tech 36, no. 1 (March 19, 2018): 43–56. http://dx.doi.org/10.1108/lht-10-2016-0115.
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Purpose The purpose of this paper is to describe the procedure for near-automation of the most commonly used manual georeferencing technique in a desktop GIS environment for historic aerial photographs strip in library archives. Design/methodology/approach Most of the archived historic aerial photography consists of series of aerial photographs that overlap to some extent, as the optimal overlap ratio is known as 60 percent by photogrammetric standard. Therefore, conjugate points can be detected for the overlapping area. The first image was georeferenced manually by six-parameter affine transformation using 2013 National Agriculture Imagery Program images as ground truths. Then, conjugate points were detected in the first and second images using Speeded Up Robust Features and Random Sample Consensus. The ground space coordinates of conjugate points were estimated using the first image’s six parameters. Then the second image’s six parameters were calculated using conjugate points’ ground space coordinates and pixel coordinates in the second image. This procedure was repeated until the last image was georeferenced. However, error accumulated as the number of photographs increased. Therefore, another six-parameter affine transformation was implemented using control points in the first, middle, and last images. Finally, the images were warped using open source GIS tools. Findings The result shows that historic aerial strip collections can be georeferenced with far less time and labor using the technique proposed compared with the traditional manual georeferencing technique in a desktop GIS environment. Research limitations/implications The suggested approach will promote the usage of historic aerial photographs for various scientific purposes including land use and land cover change detection, soil erosion pattern recognition, agricultural practices change analysis, environmental improvement assessment, and natural habitat change detection. Practical implications Most commonly used georeferencing procedures for historic aerial photographs in academic libraries require significant time and effort for manual measurement of conjugate points in the object images and the ground truth images. By maximizing the automation of georeferencing procedures, the suggested approach will save significant time and effort of library workforce. Social implications With the suggested approach, large numbers of historic aerial photographs can be rapidly georeferenced. This will allow libraries to provide more geospatial data to scientific communities. Originality/value This is a unique approach to rapid georeferencing of historic aerial photograph strips.
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Pashkov, S. V., and G. Z. Mazhitova. "Application of GIS Technologies and Aerial Photography for Geoinformation Mapping and Modelling of Relief of Agroland Landscapes." Bulletin of Irkutsk State University. Series Earth Sciences 34 (2020): 82–95. http://dx.doi.org/10.26516/2073-3402.2020.34.82.
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The article is devoted to one of the topical applied areas of agrarian landscape research – geoinformation mapping, the development of maps and models of the topography of agricultural areas. The authors demonstrate results of works on large-scale geoinformation mapping and modeling of the topography of the oldest region of bogharic agriculture of Kazakhstan – North Kazakhstan region using methods and materials of remote sensing data and GIS technologies. The main source material in the study was a series of aerial photographs obtained from an unmanned aerial vehicle (UAV). The site of photographing was carried out by GEOSCAN-Kazakhstan LLP with using the Geoscan-201M Agro/Geodesy aerial photography complex. Characteristics of photographing: height – 280 m, visible range – 5 cm/pixel, multispectral – 13 cm/pixel. Geoinformation data on the nature of the relief were obtained during field studies in 2018-2020. Studies were carried out at the local level on the example of agricultural area located in the north of the region within the forest and steppe arable small-circuit agrarian landscape. Based on the results of the study, an electronic vector basis and specialized attribute data of the key area in the GIS environment, a digital relief model were prepared, spatial analysis and modeling of the geomorphological device of the arable surface were performed. The importance of the work is given by a significant agrogenic transformation of the relief of the definite locality during the almost 270-year history of agriculture. A series of maps of the main characteristics and morphometric indicators of the relief, significant from the point of view of crop production intensification and the development of accurate (precision) agriculture of the region, has been worked out. As a result of the study, the methodology of large-scale geoinformation mapping and modeling of the terrain of agrolandscapes in the GIS environment based on aerial photographs from UAVs was developed and tested. The algorithm of work has been compiled, starting from field studies, completing with the development of thematic maps and morphometric analysis of the relief and nature of the surface structure of the studied area.
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Zhamalova, D., and Marat Tashmuhamedov. "On the question of the main elements of precision agriculture in Kostanay region on the example of LLP “Agricultural Experimental Station “Zarechnoye”." Agrarian Bulletin of the 211, no. 08 (October 19, 2021): 11–17. http://dx.doi.org/10.32417/1997-4868-2021-211-08-11-17.
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Abstract. The purpose of the research is to analyze the quality of sowing operations (flaws, sifting), the completeness of seedlings based on multispectral images. The research was carried out in accordance with the purpose of implementing the scientific and technical program “Transfer and adaptation of precision farming technologies in the production of crop production on the principle of "demonstration farms (landfills)” in Kostanay region" in 2019. Methods. To perform monitoring work, an unmanned aerial vehicle of an airplane type was used; a multispectral (MS) camera equipped with sensors of the main channels. Agrotechnical requirements have been developed taking into account the data of the electronic map of fields and the specifics of the region. The analysis of the state of crops using an information and analytical resource was carried out. Results. A survey of agricultural crops was conducted in order to obtain data on the state of the fields by an unmanned aerial vehicle. Aerial photography was performed with the Make sense Red-Edge multispectral camera at an altitude of 300 meters. The survey was carried out over 19 fields in five spectral ranges: blue, green, red, extreme red, near infrared. Aerial photography data are the initial data for the construction of orthophotoplanes, digital surface models, 3D-models. After conducting a flyby of the territory, the general condition of agricultural land was analyzed. Measurements are made on the reference fields using a portable device – an N-tester. The scientific novelty lies in the fact that aerial photography of spring wheat, which is at the stage of 3–4 leaves, was carried out, which revealed changes in the NDVI value, which during the ground survey confirmed an increase in the degree of clogging by annual millet weeds of the selected areas.
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Babayeva, A., A. Huseynov, A. Allahverdiev, Z. Khalilov, N. Sadigova, and K. Abilova. "Application of Aerial Photo Geodetic Works in Agriculture." Bulletin of Science and Practice, no. 12 (December 15, 2022): 195–205. http://dx.doi.org/10.33619/2414-2948/85/24.
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Reforming the economy of our country, and in particular agricultural production, led to the inevitable reorganization of the territory. To carry out work on the reorganization, land management authorities need fresh cartographic materials. The emerging land cadastral service needs to perform a large amount of work on the inventory of agricultural land with the determination of their condition and use. Similar problems are faced by services involved in the inventory of urban lands and objects, the creation of a cadaster of built-up areas. The wide use of aerial photography materials is of great importance in solving these problems.
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Kurakina, N. I., R. A. Myshko, P. T. Prokhozhaev, and K. D. Dmitrienko. "Analysis of Aerial Photography Data Using GIS." LETI Transactions on Electrical Engineering & Computer Science 17, no. 3 (2024): 36–43. http://dx.doi.org/10.32603/2071-8985-2024-17-3-36-43.
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The article considers an approach to the construction of complex distributed, implemented on the platforms of fog and edge computing, cyber-physical systems with a high level of architectural dynamics. The article discusses the issues of processing and analyzing images obtained from unmanned aerial vehicles. Orthophotomap and digital terrain model constructing model has been developed and implemented using data received from «Geoscan» LLC. As a result, 7 raster TIFF format orthophoto maps were created with accuracy of up to 0.025 meters. A geodatabase was built in the geographic information system into which the resulting orthophotomaps were imported. Based on the orthophotomaps, a raster mosaic was created, background and the color balance were adjusted. The resulting terrain image was analyzed, a slopes map, surface aspect, hillshade and a realistic image of the terrain were created. Aerial photography data analyzing algorithm, can be applied for processing any images obtained from unmanned aerial vehicles. The results obtained can be used for survey work, land management, architectural and construction design, environmental monitoring, and agriculture.
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Tonpe, Tosh. "Beyond Boundaries: Elevating Performance with FPV RC Planes Across Diverse Domains." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (April 30, 2024): 2826–33. http://dx.doi.org/10.22214/ijraset.2024.60449.
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Abstract: This research paper delves into the comparative advantages of FPV (First Person View) RC (Remote Control) planes over FPV drones across various fields of application. In recent years, both FPV RC planes and drones have emerged as indispensable tools in industries ranging from agriculture and surveillance to photography and mapping. However, there remains a need to analyse and understand the nuanced differ- ences between these aerial platforms to make informed decisions regarding their deployment in specific contexts. Drawing upona comprehensive review of literature and empirical evidence, this paper explores how FPV RC planes outperform FPV drones in several key areas. These include endurance, stability, longrange capabilities, and payload capacity. Additionally, the study investigates the suitability of FPV RC planes for taskssuch as long-distance surveillance, aerial mapping, agricultural monitoring, and cinematic aerial photography. Through a com- parative analysis of the performance characteristics and practical considerations of FPV RC planes and drones, this paper aimsto provide valuable insights for practitioners, researchers, and decision-makers in various industries. By understanding the unique strengths of FPV RC planes, stakeholders can optimise their use of aerial platforms to achieve superior outcomes in their respective fields of application.
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Kazachenko, Ludmila, Vladyslav Kazachenko, and Tetyana Zhidkova. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 94, 2021, no. 94 (December 28, 2021): 29–34. http://dx.doi.org/10.23939/istcgcap2021.94.029.
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The development of exogenous processes on the Earth's surface is a large-scale problem. Due to the development of exogenous processes there are changes in the composition and structure of the earth's crust and its surface. The destruction of streets, houses and public buildings, roads and railways leads to enormous losses. To predict the development of soil degradation, erosion processes on agricultural lands, which lose annual production areas, leads to the formation of a ravine-beam system and reduces the productive amount of land owned by citizens – is a solution. The use of GIS technologies, remote sensing of the Earth and modern programming can partially solve the problem, as it is a rapid identification of areas that have undergone the process of soil degradation and possible prediction of the development of negative phenomena. The use of geodetic software, GIS, information layers of the Public cadastral map can help in the fastest finding of territories, development of the forecast of the further destructive action, development of the corresponding protective methods and their introduction. The areas with manifestations of exogenous processes - soil degradation in agricultural enterprises, where every year the area of highly fertile chernozems is lost, which leads to large losses and landslides in the forest-steppe and steppe settlements of Kharkiv region have been subject of our study. We investigated destructive processes by geodetic measurements in the territories of their manifestations, observations were carried out for 8 years. The development of exogenous processes on the Earth's surface was revealed, which was manifested in landslides in the settlements of the forest-steppe zone and degradation of agricultural lands in the steppe and forest-steppe part of Kharkiv region. The cause of the destruction of the earth's surface were factors independent of human activity. We built 3-D models of development of exogenous processes manifested in soil erosion and growth of the ravine-beam system and determined the degree of erosion after surveying and processing the results of geodetic measurements in the software Digitals. For 8 years, we made changes to the software, surveying the area and building a monitoring line. Also in the settlements on the territory of the two zones, we observed the development of landslides on the streets of the village. Milova and s. Nova Vasylivka, where there is an intensive development of exogenous processes. The use of GIS technologies and remote sensing of the Earth to monitor the development of exogenous processes simplifies the solution.
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Tsench, Yu S., R. K. Kurbanov, and N. I. Zakharova. "Evolution of flight control systems and aerial photography in unmanned agricultural aircraft." Agricultural Machinery and Technologies 18, no. 2 (June 25, 2024): 11–19. http://dx.doi.org/10.22314/2073-7599-2024-18-2-11-19.
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The advancement of UAV technologies has enabled the automated capture of photos and videos, eliminating the need for manual intervention in flight control. (Research purpose) This research aims to conduct a retrospective analysis of the evolution offlight control systems and the development of aerial photography equipment for agricultural land, covering the period from the mid-19th century to present. (Materials and methods) A systematic literature review was conducted using the historical-analytical method. The paper examines original works by both domestic and international authors, including monographs, scientific journals, conference proceedings, museum exhibitions, photographic archives, and open-source software code. (Results and discussion) The paper identifies six distinct phases in the development of aerial photography and flight control systems. The classification is based on key innovations in camera types, control systems, and aircraft designs. Each phase highlights the predominant cameras, control systems, and aircraft utilized for agricultural applications. (Conclusions) Over the past 165 years, notable changes have occurred in aerial photography parameters, including the type of photographic material, image spatial and spectral resolution, camera weight and mounting, shutter types and their mechanisms, inertial control units, integrated GPS/GLONASS receivers, and light sensors. In terms of flight control systems for UAVs, significant developments over the last 106 years include variations in flight control types, the number offlight-stabilizing sensors, obstacle detection systems, size of the flight control units, flight modes, and takeoff/landing techniques, along with interfaces for attachments. It is anticipated that future intellectualization and miniaturization of flight control systems will not only boost UAV performance but also reduce the economic costs associated with the aerial monitoring of agricultural biological assets.
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Pashkov, Sergey V., Gulnur Z. Mazhitova, and Sergey A. Teslenok. "MAPPING OF AGRICULTURAL LANDSCAPES OF THE OUTLIER FOREST-STEPPE BASED ON GEOINFORMATION TECHNOLOGIES AND REMOTE SENSING OF THE EARTH." Географический вестник = Geographical bulletin, no. 1 (56) (2021): 162–72. http://dx.doi.org/10.17072/2079-7877-2021-1-162-172.
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The search for new mechanisms of crop growing modernization was initiated by post-Soviet change of the socio-economic formation, rejection of the virgin-land holistic principle of organizing agriculture with its wheat invariant, as well as transition from the extensive zonal system to adaptive landscape and precision agriculture. Above all, this refers to agricultural landscapes of the forest steppe zone of North Kazakhstan, which is the oldest region of the country’s dryland farming. The article deals with a relevant direction of agrolandscape research – geoinformation agrolandscape mapping with the use of aerial photography materials from unmanned aerial vehicles (UAV). The aim of the work is to prepare optimal cartographic support for effective agricultural production in light of agricultural intensification in the region and depletion of natural fertility resources. Modern methods of geoinformation agrolandscape mapping have been used, their effectiveness is shown through the example of key areas. The features of the landscape structure of outlier forest steppe agrolandscapes have been identified with the help of utilitarian agroecological typology of land; the types of basic geoinformation cartographic materials to be used in precision agriculture have been defined. We consider it possible for the agrolandscape mapping experience to be extended to other farms of the region, which would ensure productive agricultural management.
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Chetverikov, Borys, Lyubov Babiy, Zoriana Kuzyk, Iryna Zayats, and Mykhailo Protsyk. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 96,2022, no. 96 (December 2022): 14–23. http://dx.doi.org/10.23939/istcgcap2022.96.014.
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The purpose of the work is to investigate the digital elevation models of the mass grave of 1944, built on the basis of aerial and cartographic data of different times. The implementation of the task involves the construction of digital elevation models (DEM) on the territory of the Jewish mass grave in the city of Vynnyky and Italian prisoners of war near the city. On the territory of the Jewish mass grave in the city of Vynnyky, a DEM was created based on a stereo pair of archival aerial images obtained in 1944 and on the basis of aerial photography from a UAV conducted in 2015. Since archival aerial photographs did not contain orientation elements, they were geometrically transformed using the ErdasImagine software. After that, the stereo pair was processed in the program Digitals, where relief elements on the territory of the mass grave were obtained. Aerial photography from a UAV on the territory of the city of Vynnyky provided the data which was processed in the Agisoft PhotoScan software. It allowed us to create an orthophoto plan and an elevation map of the city territory. Elements of relief on the territory of the mass grave of 1944 and 2015 were imported into the Surfer software environment, where 3D digital elevation models were built. Since the territory of the grave did not have significant differences in height, and the relief was quite gentle, the method of constructing the DEM of the Natural Neighbor was chosen, which gave a positive result. Analyzing the digital elevation model and the vector map for 1944, the border of the mass grave is clearly distinguished, since the height difference between its edges and the rest of the territory is from 20 to 36 cm, depending on the section of the border. The analysis of the digital elevation models and the vector map for 2015 of the territory of the mass grave determined from the aerial image of 1944 showed that the characteristic height differences on the former border of the grave are observed only in the left-right corner of the grave and on a separate section of the right border. Height difference indicators range from 15 to 20 cm. It should be noted that height differences are also observed in the rest of the territory belonging to the mass grave and outside it. This can be explained by many years of human intervention and agricultural land use. With regard to the investigation of the mass graves of Italian prisoners of war near the city of Vynnyky, the modern territory is 100% wooded, which makes it impossible to apply aerial photography. Therefore, in order to compare the modern DEM with the stereo pair of aerial images of 1944, it was decided to conduct a ground tacheometric survey of the area in 2011. Tacheometric survey data was exported to the dxf exchange format, after which it was opened in Surfer and the DEM was built. In this case, digital elevation models were built using the Kriging method, since the area where the mass graves are located is quite hilly with a significant difference in elevation. According to the digital elevation models, 54 pits with burials that have survived to this day have been identified. The scientific novelty of the work consists in the development of the concept of combining disparate data for the construction of digital elevation models and the creation of a complete picture of the study of the territory of the object of historical and cultural heritage. The received data can be used by the relevant cultural heritage preservation departments of the Ministry of Culture of Ukraine for their further study.
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Kovalev, Igor, Dmitry Kovalev, Komil Astanakulov, Valerya Podoplelova, Dmitry Borovinsky, Zinaida Shaporova, and Svetlana Efa. "Digitalization of UAV transport and technological cycles in smart agriculture." E3S Web of Conferences 390 (2023): 03014. http://dx.doi.org/10.1051/e3sconf/202339003014.
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The transport and technological cycles of unmanned aerial vehicles used in various options for the implementation of agricultural technologies in smart farming are discussed. The analysis of UAV function was carried out, starting with regular and detailed aerial photography and ending with the spraying of chemicals and spraying fields. It is shown that the digitalization of UAV transport and technological cycles based on GERT-network models makes it possible to provide effective information and analytical support for decision-making processes in logistics monitoring and flow control systems in agricultural production. An analysis of the fundamental principles of GERT-network modeling led to the conclusion that this method is applicable for solving a number of systemic problems in optimizing UAV transport and technological cycles in precision farming, including their planning, modeling and development, as well as quality control of their implementation.
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Gonçalves, J. A. "AUTOMATIC ORIENTATION AND MOSAICKING OF ARCHIVED AERIAL PHOTOGRAPHY USING STRUCTURE FROM MOTION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3/W4 (March 17, 2016): 123–26. http://dx.doi.org/10.5194/isprs-archives-xl-3-w4-123-2016.
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Aerial photography has been acquired regularly for topographic mapping since the decade of 1930. In Portugal there are several archives of aerial photos in national mapping institutes, as well as in local authorities, containing a total of nearly one hundred thousand photographs, mainly from the 1940s, 1950s and some from 1930s. These data sets provide important information about the evolution of the territory, for environment and agricultural studies, land planning, and many other examples. There is an interest in making these aerial coverages available in the form of orthorectified mosaics for integration in a GIS. <br><br> The orthorectification of old photographs may pose several difficulties. Required data about the camera and lens system used, such as the focal distance, fiducial marks coordinates or distortion parameters may not be available, making it difficult to process these data in conventional photogrammetric software. <br><br> This paper describes an essentially automatic methodology for orientation, orthorectification and mosaic composition of blocks of old aerial photographs, using Agisoft Photoscan structure from motion software. The operation sequence is similar to the processing of UAV imagery. The method was applied to photographs from 1947 and 1958, provided by the Portuguese Army Geographic Institute. The orientation was done with GCPs collected from recent orthophototos and topographic maps. This may be a difficult task, especially in urban areas that went through many changes. Residuals were in general below 1 meter. The agreement of the orthomosaics with recent orthophotos and GIS vector data was in general very good. The process is relatively fast and automatic, and can be considered in the processing of full coverages of old aerial photographs.
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A, Nikhil, and Roopa R. "INNOVATIVE AERIAL IMAGE PROCESSING TECHNIQUES FOR ENHANCED SOIL EROSION DETECTION." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 07 (July 20, 2024): 1–10. http://dx.doi.org/10.55041/ijsrem36676.
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The health of ecosystems, land use, and agriculture are all seriously threatened by soil erosion.This innovative method makes use of sophisticated image processing techniques like contour evaluation, adaptive thresholding, Gaussian blur, and morphological operations to analyze aerial photos. The method increases the accuracy of detecting erosion and identifies susceptible areas in expansive landscapes. This scalable approach offers a potent weapon in the fight against soil degradation and promises to transform ecological monitoring and management. The novel approach represents a significant development in the evaluation of soil erosion andenvironmental preservation. Keyword: Soil Erosion, Aerial Photography, Image Processing, Gaussian Blur.
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Gonçalves, J. A. "AUTOMATIC ORIENTATION AND MOSAICKING OF ARCHIVED AERIAL PHOTOGRAPHY USING STRUCTURE FROM MOTION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3/W4 (March 17, 2016): 123–26. http://dx.doi.org/10.5194/isprsarchives-xl-3-w4-123-2016.
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Aerial photography has been acquired regularly for topographic mapping since the decade of 1930. In Portugal there are several archives of aerial photos in national mapping institutes, as well as in local authorities, containing a total of nearly one hundred thousand photographs, mainly from the 1940s, 1950s and some from 1930s. These data sets provide important information about the evolution of the territory, for environment and agricultural studies, land planning, and many other examples. There is an interest in making these aerial coverages available in the form of orthorectified mosaics for integration in a GIS. <br><br> The orthorectification of old photographs may pose several difficulties. Required data about the camera and lens system used, such as the focal distance, fiducial marks coordinates or distortion parameters may not be available, making it difficult to process these data in conventional photogrammetric software. <br><br> This paper describes an essentially automatic methodology for orientation, orthorectification and mosaic composition of blocks of old aerial photographs, using Agisoft Photoscan structure from motion software. The operation sequence is similar to the processing of UAV imagery. The method was applied to photographs from 1947 and 1958, provided by the Portuguese Army Geographic Institute. The orientation was done with GCPs collected from recent orthophototos and topographic maps. This may be a difficult task, especially in urban areas that went through many changes. Residuals were in general below 1 meter. The agreement of the orthomosaics with recent orthophotos and GIS vector data was in general very good. The process is relatively fast and automatic, and can be considered in the processing of full coverages of old aerial photographs.
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Jabs-Sobocińska, Zofia, Andrzej N. Affek, Ireneusz Ewiak, and Mihai Daniel Nita. "Mapping Mature Post-Agricultural Forests in the Polish Eastern Carpathians with Archival Remote Sensing Data." Remote Sensing 13, no. 10 (May 20, 2021): 2018. http://dx.doi.org/10.3390/rs13102018.
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Post-WWII displacements in the Polish Carpathians resulted in widespread land abandonment. Most of the pre-war agricultural areas are now covered with secondary forests, which will soon reach the felling age. Mapping their exact cover is crucial to investigate succession–regeneration processes and to determine their role in the landscape, before making management decisions. Our goal was to map post-agricultural forests in the Polish Eastern Carpathians using archival remote sensing data, and to assess their connectivity with pre-displacement forests. We used German Flown Aerial Photography from 1944 to map agricultural lands and forests from before displacements, and Corona satellite images to map agricultural lands which converted into the forest as a result of this event. We classified archival images using Object-Based Image Analysis (OBIA) and compared the output with the current forest cover derived from Sentinel-2. Our results showed that mature (60–70 years old) post-agricultural forests comprise 27.6% of the total forest area, while younger post-agricultural forests comprise 9%. We also demonstrated that the secondary forests fill forest gaps more often than form isolated patches: 77.5% of patches are connected with the old-woods (forests that most likely have never been cleared for agriculture). Orthorectification and OBIA classification of German Flown Aerial Photographs and Corona satellite images made it possible to accurately determine the spatial extent of post-agricultural forest. This, in turn, paves the way for the implementation of site-specific forest management practices to support the regeneration of secondary forests and their biodiversity.
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Liu, Wei, Xueren Cao, Jieru Fan, Zhenhua Wang, Zhengyuan Yan, Yong Luo, Jonathan S. West, Xiangming Xu, and Yilin Zhou. "Detecting Wheat Powdery Mildew and Predicting Grain Yield Using Unmanned Aerial Photography." Plant Disease 102, no. 10 (October 2018): 1981–88. http://dx.doi.org/10.1094/pdis-12-17-1893-re.
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High-resolution aerial imaging with an unmanned aerial vehicle (UAV) was used to quantify wheat powdery mildew and estimate grain yield. Aerial digital images were acquired at Feekes growth stage (GS) 10.5.4 from flight altitudes of 200, 300, and 400 m during the 2009–10 and 2010–11 seasons; and 50, 100, 200, and 300 m during the 2011–12, 2012–13, and 2013–14 seasons. The image parameter lgR was consistently correlated positively with wheat powdery mildew severity and negatively with wheat grain yield for all combinations of flight altitude and year. Fitting the data with random coefficient regression models showed that the exact relationship of lgR with disease severity and grain yield varied considerably from year to year and to a lesser extent with flight altitude within the same year. The present results raise an important question about the consistency of using remote imaging information to estimate disease severity and grain yield. Further research is needed to understand the nature of interyear variability in the relationship of remote imaging data with disease or grain yield. Only then can we determine how the remote imaging tool can be used in commercial agriculture.
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Huda, Feblil, Kaspul Anuar, Syafri Syafri, and Anita Susilawati. "PEMBUATAN PETA GEOSPASIAL MELALUI PEMETAAN UDARA PADA KELURAHAN BATU BERSURAT, KECAMATAN XIII KOTO KAMPAR, KABUPATEN KAMPAR, PROVINSI RIAU." Dinamisia : Jurnal Pengabdian Kepada Masyarakat 3, no. 1 (June 25, 2019): 76–83. http://dx.doi.org/10.31849/dinamisia.v3i1.2060.
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One of the most commonly used geospatial mapping methods is photogrammetry (aerial mapping). Photogrammetry is a method of mapping objects on the surface of the earth by using aerial photography as a medium. The aerial mapping process is carried out through cameras installed on Unmanned Aerial Vehicle (UAV). From the aerial photography, object interpretation and geometry measurements will be carried out to produce line maps, digital maps and photo maps. In general, photogrammetry is a mapping technology by utilizing aerial photography to be processed into a geo-spatial information system. Batu Bersurat Village is one of the villages located in Subdistrict XIII Koto Kampar, Kampar Regency, which did not have a geospatial information map. Community service team from the Mechanical Engineering Department of the University of Riau had a plan to carry out community service activities in Batu Besurat Village in the form of making geospatial information maps through aerial mapping. This aerial mapping activity was carried out by utilizing UAV with the type of fixed wing. In its implementation, the community service activities were planned to involve Mechanical Engineering students, university students of the University of Riau, village officials and the local community. It is expected that with this community service program, the geospatial information system map made by Batu Bersurat Village can be used in village spatial planning for agricultural land, residential land and validation of village boundaries.
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Maulit, Almasbek, Aliya Nugumanova, Kurmash Apayev, Yerzhan Baiburin, and Maxim Sutula. "A Multispectral UAV Imagery Dataset of Wheat, Soybean and Barley Crops in East Kazakhstan." Data 8, no. 5 (May 11, 2023): 88. http://dx.doi.org/10.3390/data8050088.
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This study introduces a dataset of crop imagery captured during the 2022 growing season in the Eastern Kazakhstan region. The images were acquired using a multispectral camera mounted on an unmanned aerial vehicle (DJI Phantom 4). The agricultural land, encompassing 27 hectares and cultivated with wheat, barley, and soybean, was subjected to five aerial multispectral photography sessions throughout the growing season. This facilitated thorough monitoring of the most important phenological stages of crop development in the experimental design, which consisted of 27 plots, each covering one hectare. The collected imagery underwent enhancement and expansion, integrating a sixth band that embodies the normalized difference vegetation index (NDVI) values in conjunction with the original five multispectral bands (Blue, Green, Red, Red Edge, and Near Infrared Red). This amplification enables a more effective evaluation of vegetation health and growth, rendering the enriched dataset a valuable resource for the progression and validation of crop monitoring and yield prediction models, as well as for the exploration of precision agriculture methodologies.
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Clevers, J. G. P. W., and L. Sibma. "Estimation of dry matter yield of silage by means of multispectral aerial photography." Netherlands Journal of Agricultural Science 38, no. 4 (December 1, 1990): 653–59. http://dx.doi.org/10.18174/njas.v38i4.16555.
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The near-infrared reflectance of maize crops grown in East Flevoland, Netherlands, estimated using aerial photography was used to estimate LAI. By analysing a calibration set, a regression function of DM yield on near-infrared reflectance factor was estimated. This regression function was used to estimate DM yield of maize grown under similar conditions and photographed on the same day. (Abstract retrieved from CAB Abstracts by CABI’s permission)
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Basnyat, P., B. McConkey, B. Meinert, C. Gatkze, and G. Noble. "Agriculture Field Characterization Using Aerial Photograph and Satellite Imagery." IEEE Geoscience and Remote Sensing Letters 1, no. 1 (January 2004): 7–10. http://dx.doi.org/10.1109/lgrs.2003.822313.
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Clevers, J. G. P. W. "Multispectral aerial photography as a supplemental technique in agricultural research." Netherlands Journal of Agricultural Science 36, no. 1 (February 1, 1988): 75–90. http://dx.doi.org/10.18174/njas.v36i1.16699.
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Narrow spectral bands in the visible and near IR were tested for use in remote sensing of agricultural field trials. Recordings of high spectral (25-100 nm bandwith), temporal (fortnightly) and spatial (+or-1msuperscript 2) resolution, were obtained using an airborne multispectral photographic (MSP) system. Calibrated reflectance factors of spring barley and spring wheat crops were obtained using atmospheric correction and radiometric calibration for reference targets in the field. LAI were estimated from spectral reflectance characteristics of cereals during the growing season for various treatments such as N nutrition and sowing date. Quantitative information was obtained in an objective and non-destructive mannner with greater precision by MSP than by conventional field sampling. (Abstract retrieved from CAB Abstracts by CABI’s permission)
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Babayeva, A., A. Huseynov, S. Rustamov, Z. Khalilov, N. Sadigova, and K. Abilova. "Application of Aerial Photo Geodetic Works in Agriculture." Bulletin of Science and Practice, no. 5 (May 15, 2023): 139–49. http://dx.doi.org/10.33619/2414-2948/90/17.
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Indirect signs of interpretation are natural, anthropogenic and natural-anthropogenic. They allow, on the basis of regular relationships between natural objects and objects of human activity, to recognize objects and their properties that are not depicted on an aerial photograph. Natural determine the relationship and interdependence of objects and phenomena in nature (landscape). For example, the dependence of the type of vegetation cover on the type of soil, its salinity and moisture, or the relationship of the relief with the geological structure of the area and their joint role in the soil formation process.
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Kurbanov, R. K., N. I. Zakharova, and D. M. Gorshkov. "Improving the Accuracy of Aerial Photography Using Ground Control Points." Agricultural Machinery and Technologies 15, no. 4 (December 17, 2021): 42–47. http://dx.doi.org/10.22314/2073-7599-2021-15-4-42-47.
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The authors showed that it is possible to quickly collect up-to-date information on the agricultural land condition using an unmanned aerial vehicle. It was noted that the use of ground control points increases the accuracy of project measurements, helps to compare the project post-processing results with the real measurements. (Research purpose) To compare the results of standard and high-precision post-processing of aerial survey data using ground control points. (Materials and methods) Aerial photography was carried out on a 1.1- hectare breeding field. The authors used DJI Matrice 200 v2 unmanned aerial vehicle with a GNSS L1/L2 receiver and a modified DJI X4S camera, five control points sized 50 × 50 centimeters and an EMLID Reach RS2 multi-frequency GNSS receiver. The results of scientific research into the use of ground control points during aerial photography were studied. (Results and discussion) It was found out that the error of georeferencing images obtained by an unmanned aerial vehicle without control points is significantly higher during the standard data processing compared to the high-precision one. The project error when using five control points is 3.9 times higher during the standard data processing. (Conclusions) It was shown that using ground control points it is possible to improve the project measurement accuracy, as well as compare the project post-processing results with the measurements on the ground. It was detected that the high-precision monitoring enables the use of fewer ground control points. It was found out that in order to obtain data with the accuracy of 2-4 centimeters in plan and height, at least 3 ground control points need to be used during the high-precision post-processing.
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Oymatov, R., Z. Mamatkulov, R. Maksudov, M. Bakhriyev, G. Aminova, I. Menlimuratova, and A. Esirgapov. "Improving the methods of Agricultural mapping using remote sensing data." E3S Web of Conferences 386 (2023): 04008. http://dx.doi.org/10.1051/e3sconf/202338604008.
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Based on remote sensing data, it is possible to create a real-time database of agricultural sectors of the study area, in particular, types of crops, fisheries, arable land, and other sectors of agriculture. Remote sensing techniques can also be used to help determine crop yields, parasite spread, increased damage, and soil conditions using satellite imagery and aerial photography. In agricultural mapping, a classification algorithm is required that ensures the reliability and accuracy of the data extracted from the remote sensing data. Research and experiments have shown that increasing the accuracy of classification results requires not only the selection of a perfect algorithm but also a high level of knowledge and skills in the field in which the research is conducted. The mapping of agricultural sectors, in particular the classification of crops, also requires close acquaintance with the existing types of crops in the region, their dependence on natural and climatic conditions, and their development trends.
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Shang, Jingcheng, Jinsong Wang, Shenbo Liu, Chen Wang, and Bin Zheng. "Small Target Detection Algorithm for UAV Aerial Photography Based on Improved YOLOv5s." Electronics 12, no. 11 (May 27, 2023): 2434. http://dx.doi.org/10.3390/electronics12112434.
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At present, UAV aerial photography has a good prospect in agricultural production, disaster response, and other aspects. The application of UAVs can greatly improve work efficiency and decision-making accuracy. However, owing to inherent features such as a wide field of view and large differences in the target scale in UAV aerial photography images, this can lead to existing target detection algorithms missing small targets or causing incorrect detections. To solve these problems, this paper proposes a small target detection algorithm for UAV aerial photography based on improved YOLOv5s. Firstly, a small target detection layer is applied in the algorithm to improve the detection performance of small targets in aerial images. Secondly, the enhanced weighted bidirectional characteristic pyramid Mul-BiFPN is adopted to replace the PANet network to improve the speed and accuracy of target detection. Then, CIoU was replaced by Focal EIoU to accelerate network convergence and improve regression accuracy. Finally, a non-parametric attention mechanism called the M-SimAM module is added to enhance the feature extraction capability. The proposed algorithm was evaluated on the VisDrone-2019 dataset. Compared with the YOLOV5s, the algorithm improved by 7.30%, 4.60%, 5.60%, and 6.10%, respectively, in mAP@50, mAP@0.5:0.95, the accuracy rate (P), and the recall rate (R). The experiments show that the proposed algorithm has greatly improved performance on small targets compared to YOLOv5s.
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Babs Toyon, Ashima. "Review of Literature on Sources of Remotely Sensed Data for Utilization of Land Resources." Advance Research in Sciences (ARS) 1, no. 1 (March 16, 2023): 1–4. http://dx.doi.org/10.54026/ars/1003.
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In Nigeria aerial photographs and other remotely sensed data can be obtained from Federal Survey Department, this unit acquires and archives aerial photograph of different parts of the country. Oil prospecting companies operating in Nigeria such as Shell Petroleum Development Company of Nigeria Limited, Elf Plc, Chevron and AGIP also acquires and store aerial photos. Satellite imageries (particularly Landsat and SPOT) may be obtained through Regional Centre for Training in Aerospace Surveys (RECTAS), Ile Ife; international Institute for Tropical Agriculture (IITA), Ibadan; Federal Department of Water Resources, Kaduna; etc. even if required remotely sensed data is not in stock the imagery of an area on the earth’s surface which is of particular interest to a client, SSC satellitbild can programme the SPOT satellite to record an image of the area in question provided that he (the client) can identify the area in terms of latitude and longitude.
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Mitrofanov, E., and O. Mitrofanova. "Tile drainage monitoring in agricultural fields with an unmanned aerial system." IOP Conference Series: Earth and Environmental Science 937, no. 3 (December 1, 2021): 032101. http://dx.doi.org/10.1088/1755-1315/937/3/032101.
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Abstract In Russia, the volume of restoration and maintenance work of drainage reclamation systems has significantly decreased, the number of trained reclamation specialists has decreased, most of the objects need reconstruction, and the documentation and schemes of pipes and channels of drainage systems have been lost. Accordingly, the development of agricultural drainage reclamation will require large amounts of financial and labor costs. The aim of the work is to present an alternative approach to assessing the status of these systems for making management decisions using an unmanned aerial system (UAS), which allows you to quickly obtain high quality aerial photographs (2-7 cm/pixel) of an agricultural area up to 50 hectares in one flight. In addition to the unmanned aerial vehicle, the UAS also includes an onboard complex, a payload and a ground control station. The flight group carries out all stages of data acquisition and preprocessing in an automated mode using specialized software. In the course of the experimental studies, the main elements of the considered approach to monitoring drainage systems are highlighted: the period of aerial photography, determination of the pipes and canals schemes, determination of waterlogging zones on agricultural areas and breakdowns of a reclamation system, monitoring in dynamics. As a result, when solving the problem of monitoring drainage reclamation systems, the use of UAS seems to be a relevant and promising approach, which makes it possible to assess the object status promptly.
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Jagtap, Vishwesh, Siddarth Bugtani, Yashvi Hiranandani, Kabir Rajpal, and Pallavi Saindane. "A Survey on Technological Advances in Agriculture." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (May 31, 2022): 3680–85. http://dx.doi.org/10.22214/ijraset.2022.43057.
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Abstract: Since over 12000 years agriculture has been a backbone of our country. In the start it was mainly man-power and the farmers had to face not much problems. But this road hasn’t always been smooth. The problems have not only been increasing in intensity but also finding a solution for it hasn’t been easy. Depletion of resources, rapid population growth, birth of new diseases, changes in climate, and other factors contribute to food shortages from time to time, impoverishing the poor Indian farmers. In this 21st century, ICT has revolutionized every aspect of life, including agriculture, which gave rise to E-farming. It was started with the aim to provide food security, but over the years it has taken a great turn. In the coming years, agriculture will use advanced technologies like robots, temperature and humidity sensors, aerial photography, and GPS. These equipment will allow farming to be more profitable, more efficient, safe, as well as environmentally friendly. So with the help of this paper, we intend to study all the technological advancements in agriculture over the years. Keywords: E-farming, Technology , ICT , Agriculture, Weather Forecast
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d'Andrimont, Raphaël, Martin Claverie, Pieter Kempeneers, Davide Muraro, Momchil Yordanov, Devis Peressutti, Matej Batič, and François Waldner. "AI4Boundaries: an open AI-ready dataset to map field boundaries with Sentinel-2 and aerial photography." Earth System Science Data 15, no. 1 (January 18, 2023): 317–29. http://dx.doi.org/10.5194/essd-15-317-2023.
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Abstract. Field boundaries are at the core of many agricultural applications and are a key enabler for the operational monitoring of agricultural production to support food security. Recent scientific progress in deep learning methods has highlighted the capacity to extract field boundaries from satellite and aerial images with a clear improvement from object-based image analysis (e.g. multiresolution segmentation) or conventional filters (e.g. Sobel filters). However, these methods need labels to be trained on. So far, no standard data set exists to easily and robustly benchmark models and progress the state of the art. The absence of such benchmark data further impedes proper comparison against existing methods. Besides, there is no consensus on which evaluation metrics should be reported (both at the pixel and field levels). As a result, it is currently impossible to compare and benchmark new and existing methods. To fill these gaps, we introduce AI4Boundaries, a data set of images and labels readily usable to train and compare models on field boundary detection. AI4Boundaries includes two specific data sets: (i) a 10 m Sentinel-2 monthly composites for large-scale analyses in retrospect and (ii) a 1 m orthophoto data set for regional-scale analyses, such as the automatic extraction of Geospatial Aid Application (GSAA). All labels have been sourced from GSAA data that have been made openly available (Austria, Catalonia, France, Luxembourg, the Netherlands, Slovenia, and Sweden) for 2019, representing 14.8 M parcels covering 376 K km2. Data were selected following a stratified random sampling drawn based on two landscape fragmentation metrics, the perimeter/area ratio and the area covered by parcels, thus considering the diversity of the agricultural landscapes. The resulting “AI4Boundaries” dataset consists of 7831 samples of 256 by 256 pixels for the 10 m Sentinel-2 dataset and of 512 by 512 pixels for the 1 m aerial orthophoto. Both datasets are provided with the corresponding vector ground-truth parcel delineation (2.5 M parcels covering 47 105 km2), and with a raster version already pre-processed and ready to use. Besides providing this open dataset to foster computer vision developments of parcel delineation methods, we discuss the perspectives and limitations of the dataset for various types of applications in the agriculture domain and consider possible further improvements. The data are available on the JRC Open Data Catalogue: http://data.europa.eu/89h/0e79ce5d-e4c8-4721-8773-59a4acf2c9c9 (European Commission, Joint Research Centre, 2022).
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Vávrů, Petr, and Helge Viken. "Mapping of Greenland landscape using aerial photography and orthophotography (Technical Note)." Czech Polar Reports 3, no. 2 (June 1, 2013): 208–12. http://dx.doi.org/10.5817/cpr2013-2-21.
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Aerial photography is an important tool for mapping on local scale. In the paper, description of aerial photos taken over several urban and natural landscape sites in West Greenland is given as well as their processing. Using a high-resolution software, aerial photos were processed and digital terrain models (DTMs) of the sites produced. Technique of contour lines was used to check the created DTM for particular site. Finally, orthophotos of all sites were produced. In this Technical Note, several sites located on Western coast of Greenland are presented and the use of maps generated from orthophotos is discussed.
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Ashraf, Atufa, Latief Ahmad, Khalid Ferooz, Shazia Ramzan, Ifra Ashraf, Junaid N. Khan, Efath Shehnaz, et al. "Remote Sensing as a Management and Monitoring Tool for Agriculture: Potential Applications." International Journal of Environment and Climate Change 13, no. 8 (May 24, 2023): 324–43. http://dx.doi.org/10.9734/ijecc/2023/v13i81957.
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Remote sensing technology has revolutionized agriculture management and monitoring by providing valuable information on crop health, soil conditions, weather patterns, and overall land management. The reflectance data are progressively being exploited in agriculture with the momenta gained in ground-based, airborne, and satellite remote sensing. The agriculture systems when managed conventionally don’t facilitate the proper utilization of resources and productivity potential of the soil. However, taking the aid of remote sensing techniques helps in boosting the productivity potential of the soil and optimizing the inputs. This paper aims to review the potential applications of remote sensing in agriculture and its role in improving productivity, resource efficiency, and sustainability. The paper discusses various remote sensing techniques, including satellite imagery, aerial photography, and sensor-based data collection, and their integration with advanced data analysis methods. The applications explored include biomass estimation, yield estimation, global food demand, salinity stress detection, drought monitoring, soil moisture content assessment, and change detection. The paper highlights the benefits and challenges associated with each application and provides insights into future research directions and technology advancements in the field of remote sensing for agriculture.
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Karas, Ondřej. "Emerging Uses Of Unmanned Aerial Vehicles (Uavs) In Modern Society." Entretextos 8, no. 24 (December 9, 2016): 1–9. http://dx.doi.org/10.59057/iberoleon.20075316.201624341.
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Unmanned aerial vehicles, commonly known as drones, are becoming increasingly popular in today’s society on both hobby and commercial levels. One million drones are built every year across the globe. In the United States alone, 5,168 businesses have already been granted permission to make use of UAVs, mainly in the agriculture and aerial videography/photography sectors. However, the principal use of drones today is still hobby and recreation. In this paper, I focus on the exciting applications of UAVs, which are emerging today or will be available in near future. These include: package delivery, emergency response and medical uses, meteorology, education, inspections, and even wildlife conservation. I cover drones of all sizes, starting from micro- and mini-UAVs and ending with optionally piloted aircraft. I explain the reluctance of our society to embrace this innovation, despite the many benefits it offers to mankind. Any new technological development is initially accompanied by misconceptions and fear from the general public. It is important that all users who employ UAVs do so responsibly.
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Gianno, Rosemary, and Klaus J. Bayr. "Semelai agricultural patterns: Toward an understanding of variation among indigenous cultures in southern peninsular Malaysia." Journal of Southeast Asian Studies 40, no. 1 (January 7, 2009): 153–85. http://dx.doi.org/10.1017/s0022463409000071.
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What were the indigenous agricultural and population patterns in peninsular Malaysia's southern lowlands? What factors produced these patterns? Based on our analysis of ethnographic and historical evidence, as well as aerial photographs taken in 1948 in the Tasek Bera and Sungai Bera watersheds, the Semelai, an Orang Asli group, had a robust and productive subsistence agricultural system emphasising rice but insured by cassava. These photographs, from the P.D.R. Williams-Hunt Collection, provide an unusual record of Semelai agriculture prior to settlement in 1954 and contribute to our knowledge of indigenous economic patterns in the southern lowlands, which have received little ethnographic attention.
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Beloev, Ivan H. "A Review on Current and Emerging Application Possibilities for Unmanned Aerial Vehicles." Acta Technologica Agriculturae 19, no. 3 (September 1, 2016): 70–76. http://dx.doi.org/10.1515/ata-2016-0015.
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Abstract This paper presents a review on current and emerging application possibilities for unmanned aerial vehicles (UAVs). The introduction section of the paper briefly describes some of the application areas in which drones are currently being used. The next chapters of the paper describe more detailly the use of UAVs for aerial photography, filming, security and logistics, GIS, land and water surveys. The main focus of the last chapters is on the advantages and the disadvantages of the drones usage in precision agriculture, wildlife and nature observations and archaeology. The last chapters also provide information on how the advanced information technology solutions can be implemented in order to provide means for fighting invasive species, to increase the yield of certain crops, to monitor and predict flooding, wildfires and other disasters, etc. This paper provides only overview of the most interesting and widely available applications of the UAVs, but there are also many other more specific and dedicated solutions for implementation of the drones for different purposes.
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Nguyen, Khang, Nhut T. Huynh, Phat C. Nguyen, Khanh-Duy Nguyen, Nguyen D. Vo, and Tam V. Nguyen. "Detecting Objects from Space: An Evaluation of Deep-Learning Modern Approaches." Electronics 9, no. 4 (March 30, 2020): 583. http://dx.doi.org/10.3390/electronics9040583.
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Unmanned aircraft systems or drones enable us to record or capture many scenes from the bird’s-eye view and they have been fast deployed to a wide range of practical domains, i.e., agriculture, aerial photography, fast delivery and surveillance. Object detection task is one of the core steps in understanding videos collected from the drones. However, this task is very challenging due to the unconstrained viewpoints and low resolution of captured videos. While deep-learning modern object detectors have recently achieved great success in general benchmarks, i.e., PASCAL-VOC and MS-COCO, the robustness of these detectors on aerial images captured by drones is not well studied. In this paper, we present an evaluation of state-of-the-art deep-learning detectors including Faster R-CNN (Faster Regional CNN), RFCN (Region-based Fully Convolutional Networks), SNIPER (Scale Normalization for Image Pyramids with Efficient Resampling), Single-Shot Detector (SSD), YOLO (You Only Look Once), RetinaNet, and CenterNet for the object detection in videos captured by drones. We conduct experiments on VisDrone2019 dataset which contains 96 videos with 39,988 annotated frames and provide insights into efficient object detectors for aerial images.
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Lebedeva, V. V., and I. V. Lebedev. "Algorithms for Calculating the Trajectory of Unmanned Aerial Vehicles for Solving Agricultural Problems." Agricultural Machinery and Technologies 16, no. 3 (October 2, 2022): 40–47. http://dx.doi.org/10.22314/2073-7599-2022-16-3-40-47.
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The relevance of using unmanned aerial vehicles (UAV) is substantiated in comparison with other methods of aerospace survey. The paper provides examples of tasks requiring the use of UAVs for aerial photography from different heights. It is shown that the introduction of agricultural robots, including UAVs, increases the speed of fi eld work, allows obtaining unique data necessary for the assessment of agricultural territories, crops processing and plant growth stimulation. It is noted that the problem of constructing the movement trajectories of a multirotor UAV for performing agricultural tasks within a minimum time limit remains unresolved. (Research purpose) To reduce the length of the trajectory covering a given area and reduce the flight time of a multirotor UAV, taking into account the analysis of possible obstacles and land plots that are beyond the task scope. (Materials and methods) Geometric methods have been used to calculate the UAV flight trajectory covering a given section, the trajectory of movement in an environment with obstacles to the designated point. Photogrammetry methods have been used for processing aerial photography images when forming an orthophotoplane and a terrain map. (Results and discussion) The trajectory calculated by the developed algorithm proves to meet all the requirements: it is continuous, has a minimum number of turns, it is smoothed, and feasible for a multirotor UAV. (Conclusions) It was determined that according to the proposed algorithm it takes less than 0.05 seconds to calculate the trajectory covering a rectangular section with the sides of 200 by 30 meters. It was found that the trajectory in the fi rst 10,200-square-meter section decreased by 9 percent, and in the second 950,000-square-meter section it reduced by 6 percent, compared with the length of the trajectory built using standard algorithms. The flight time reduced by 32 and 10 percent, respectively. The paper presents the key advantages of using UAV for video shooting such as: guaranteed high resolution of photographic materials and the ability to shoot at a given time, allowing for the crop condition assessment.
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CLEVERS, J. G. P. W. "Multispectral aerial photography as a new method in agricultural Meld trial analysis." International Journal of Remote Sensing 9, no. 2 (February 1988): 319–32. http://dx.doi.org/10.1080/01431168808954855.
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Keech, M. A. "THE APPLICATION OF AERIAL PHOTOGRAPHY TO THE PLANNING OF AGRICULTURAL DEVELOPMENT OVERSEAS." Photogrammetric Record 8, no. 43 (August 26, 2006): 19–26. http://dx.doi.org/10.1111/j.1477-9730.1974.tb01224.x.
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Chen, Pei-Chun, Yen-Cheng Chiang, and Pei-Yi Weng. "Imaging Using Unmanned Aerial Vehicles for Agriculture Land Use Classification." Agriculture 10, no. 9 (September 21, 2020): 416. http://dx.doi.org/10.3390/agriculture10090416.
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An unmanned aerial vehicle (UAV) was used to capture high-resolution aerial images of crop fields. Software-based image analysis was performed to classify land uses. The purpose was to help relevant agencies use aerial imaging in managing agricultural production. This study involves five townships in the Chianan Plain of Chiayi County, Taiwan. About 100 ha of farmland in each township was selected as a sample area, and a quadcopter and a handheld fixed-wing drone were used to capture visible-light images and multispectral images. The survey was carried out from August to October 2018 and aerial photographs were captured in clear and dry weather. This study used high-resolution images captured from a UAV to classify the uses of agricultural land, and then employed information from multispectral images and elevation data from a digital surface model. The results revealed that visible-light images led to low interpretation accuracy. However, multispectral images and elevation data increased the accuracy rate to nearly 90%. Accordingly, such images and data can effectively enhance the accuracy of land use classification. The technology can reduce costs that are associated with labor and time and can facilitate the establishment of a real-time mapping database.
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Логинов, Николай, Nikolay Loginov, Алмаз Сабирзянов, and Almaz Sabirzyanov. "DEVELOPMENT OF THE METHOD OF OPERATIONAL EVALUATION OF THE WINTER CROPS CONDITION IN THE EARLY CURRENT PERIOD WITH THE APPLICATION OF UNMANNED AERIAL VEHICLES." Vestnik of Kazan State Agrarian University 13, no. 4 (December 19, 2018): 56–60. http://dx.doi.org/10.12737/article_5c3df630746b69.82474808.
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An unmanned aerial vehicle (UAV) for agriculture is an excellent planner and controller for multiple stages of agricultural operations. UAVs cope with monitoring and assessing the quality of land and forecasting future yields, as well as monitoring the condition of crops, processing them faster and with a minimum of costs - the economic benefit of using machines for large agro-industrial holding companies and individual farmers is on the face. The basis for this kind of work to determine the NDVI index is the reflection of solar radiation by agrocenoses, which is related to the amount of chlorophyll in the plant's phytomass. There is a close correlation between these two factors - the larger the phytomass, the higher the reflection of solar radiation.
The article presents some of the results of research on the processing of aerial photographs obtained with UAV Geoscan 201 Agro. According to the results of the analysis of aerial photographs, a method of scoring the state of winter crops in the early spring period is proposed with recommendations for further response to preserve the future harvest in each field.
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Flórez, Jimmy, José Ortega, Andrés Betancourt, Andrés García, Marlon Bedoya, and Juan S. Botero. "A review of algorithms, methods, and techniques for detecting UAVs and UAS using audio, radiofrequency, and video applications." TecnoLógicas 23, no. 48 (May 15, 2020): 269–85. http://dx.doi.org/10.22430/22565337.1408.
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Unmanned Aerial Vehicles (UAVs), also known as drones, have had an exponential evolution in recent times due in large part to the development of technologies that enhance the development of these devices. This has resulted in increasingly affordable and better-equipped artifacts, which implies their application in new fields such as agriculture, transport, monitoring, and aerial photography. However, drones have also been used in terrorist acts, privacy violations, and espionage, in addition to involuntary accidents in high-risk zones such as airports. In response to these events, multiple technologies have been introduced to control and monitor the airspace in order to ensure protection in risk areas. This paper is a review of the state of the art of the techniques, methods, and algorithms used in video, radiofrequency, and audio-based applications to detect UAVs and Unmanned Aircraft Systems (UAS). This study can serve as a starting point to develop future drone detection systems with the most convenient technologies that meet certain requirements of optimal scalability, portability, reliability, and availability.
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Muryamto, Rochmad, Waljiyanto Waljiyanto, Untung Rahardjo, Gondang Riyadi, Ruli Andaru, Iqbal Taftazani, Wahyu Marta, and Annisa Farida. "Pembuatan Peta dan Sistem Informasi Geospasial Lahan Pertanian di Kecamatan Sentolo, Kabupaten Kulonprogo, Yogyakarta." Jurnal Pengabdian kepada Masyarakat (Indonesian Journal of Community Engagement) 1, no. 2 (April 11, 2016): 278–87. http://dx.doi.org/10.22146/jpkm.10613.
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Kulonprogo Regency as a part of Daerah Istimewa Yogyakarta Province has total agriculture land area about 10.700 hectare (Dinas Pertanian dan Kehutanan, 2014). Based on Daerah Istimewa Yogyakarta Local Regulation, No. 10 of 201, Article 9, Paragraph 2, Point (d) defined that sustainable food agriculture land area in Kulonprogo Regency only 5.029 hectare. Daerah Istimewa Yogyakarta Provincial Regulation No. 10 of 2011 about Sustainable Food Agriculture Land Protection mentioned that its necessary to maintain the activities of food security and sovereign, also prevent the farmland conversion to nonagricultural. The purpose of this society service is to make geospatial information system about agriculture land in a small part of agriculture area in Sukoreno Village, Sentolo Subdistrict, Kulonprogo Regency. In this society service, wide area mapping is about 10 hectare. The method that used for data record is aerial photo by Unmanned Aerial Vehicle (UAV). This method expected to be able to photograph whole agriculture area in Kulonprogo Regency quickly. The results of this society service are geospatial information system and agriculture land map that can used by Kulonprogo Regency Government to support sustainable food agriculture land protection activity.
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Ponomarenko, I., V. Tarasov, A. Ihnatchenko, Yu Khymchenko, and B. Kovalov. "ECONOMIC EFFICIENCY OF DRONE USE IN AGRICULTURE." Vìsnik Sumsʹkogo deržavnogo unìversitetu 2021, no. 4 (2021): 235–40. http://dx.doi.org/10.21272/1817-9215.2021.4-27.
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The article analyzes the market of drones for agricultural activities as part of the concept of precision farming; the classification of agricultural drones by structure, use and cameras installed on them is given; the analysis of the world market of drones for today is carried out, and efficiency of introduction of drones in agriculture (on an example of plant growing) is calculated. To analyze the global market for agricultural drones, data were taken from analytical reports and reviews of companies such as: PricewaterhouseCoopers, Markets and Markets, Mordor Intelligence, Fortune Business Insider. The authors used the following research methods: observation method, index analysis, economic-mathematical modeling and deductive method for drawing conclusions. The study was conducted in several stages. First, the classification of drones by structure, use and type of video cameras was studied. At the second stage, on the basis of analytical reports of reputable international companies analyzed the current state of the agricultural drone market and its capacity; identified the prerequisites for the development of the agricultural drone market and the factors that have the greatest impact on the industry; the forecast on the future possible development of the agricultural drone market is analyzed, and the main market players are identified, indicating the country of origin of the companies. At the third stage, the analysis of the introduction of drone technology in crop production for aerial photography and fertilizer application was carried out. The article develops two possible scenarios of farmer's behavior in relation to agriculture: 1) monitor the condition of fields and crop growth with their own vehicle and apply fertilizers using specialized agricultural machinery; 2) perform similar work using drones. The average tariff for fertilizer application in Ukraine and the average salary of a drone operator were used for the calculation. Drones have been shown to be more cost-effective if they increase crop yields by more than 3.85% over five years of using the technology.
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Nazaruddin, Nazaruddin. "PEMETAAN MELALUI FOTO UDARA PADA LAHAN MARGINAL (TIDUR) YANG BERPOTENSI UNTUK DIJADIKAN LAHAN PERKEBUNAN DI DESA BINAMANG, KECAMATAN XIII KOTO KAMPAR, KABUPATEN KAMPAR, PROVINSI RIAU." Dinamisia : Jurnal Pengabdian Kepada Masyarakat 3, no. 1 (June 17, 2019): 14–21. http://dx.doi.org/10.31849/dinamisia.v3i1.2066.
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The area of Binamang Village has potential area to develop its plantation. Besides being suitable for planting oil palm and rubber commodities, Binamang village is also suitable to be developed by its plantations in the commodities of brown, gambier and gaharu. This is also supported by the large amount of marginal (non productif) land that has not been used in the village of Binamang. However, some of these marginal area are the Koto Panjang PLTA lake catchment area. Clear and detailed mapping is need to classify of marginal area which is potential to be used as plantation land in this area. This is done so that there will be no conflicts in the future. In addition, this mapping data is also useful as information data for potential investors who intend to invest their funds in the plantation sector in Binamang Village.
To classify the marginal area which is not the Koto Panjang hydropower (PLTA) lake catchment area, a team of lecturers from the Mechanical Engineering Department of the University of Riau carried out community service activities in the village of Binamang, in the form of build maps of marginal area that could potentially be used as plantation / agriculture. This map is equipped with a geospatial information system. This mapping activity was carried out by using aerial photographing methods through Unmanned Aircraft by involving students of Riau University and local village equipment. This aerial photography activity is carried out at an altitude of 250 meters above ground level. With this method, all marginal areas in Binamang village can be mapped quickly and in detail.
Based on calculations carried out through aerial photographic maps that have been injected with GPS coordinates, the marginal area that has the potential to be developed into plantations in Binamang Village is about 40 hectares. This result can be a reference for relevant stakeholders in planning the development of plantation areas in Binamang Village. The results of aerial maps can also be used by local policy makers in planning the spatial layout of Binamang Village.
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Suroso, Indreswari. "ANALISIS PERAN UNMANNED AERIAL VEHICLE JENIS MULTICOPTER DALAM MENINGKATKAN KUALITAS DUNIA FOTOGRAFI UDARA DI LOKASI JALUR SELATAN MENUJU CALON BANDARA BARU DI KULONPROGO." REKAM: Jurnal Fotografi, Televisi, dan Animasi 14, no. 1 (August 15, 2018): 17. http://dx.doi.org/10.24821/rekam.v14i1.2134.
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Dunia fotografi sangat erat berkaitan dengan pesawat tanpa awat disebut drone. Drone dipasang kamera sehingga pesawat tersebut dikendalikan pilot dari daratan. Hasil fotografi dilihat pilot setelah pesawat drone tersebut mendarat. Drone adalah pesawat tanpa awak yang dikendalikan dari jarak jauh. Pesawat tanpa awak atau pesawat nirawak (Unmanned Aerial Vehicle atau UAV) adalah sebuah mesin terbang yang berfungsi dengan kendali jarak jauh oleh pilot. Perkembangan teknologi membuat drone juga mulai banyak diterapkan untuk kebutuhan sipil, terutama di bidang bisnis, industri, dan logistik. Dalam dunia industri bisnis, drone telah diterapkan dalam berbagai layanan seperti pengawasan infrastruktur, pengiriman paket barang, pemadam kebakaran hutan, eksplorasi bahan tambang, pemetaaan daerah pertanian, dan pemetaan daerah industri. Berdasarkan jenisnya, terdapat dua jenis drone, yaitu multicopter dan fixed wing. Multicopter adalah jenis drone yang memanfaatkan putaran baling-baling untuk terbang, sedangkan fixed wing memiliki bentuk seperti pesawat terbang biasa yang dilengkapi sistem sayap. Langkah yang digunakan dalam penelitian ini adalah persiapan pembuatan drone, perencanaan ketinggian terbang, pengujian drone di ground, pengaturankalibrasi kamera, pengambilan foto udara, melihat hasil foto udara, kemudian menganalisis hasil foto udara. Drone dalam penelitian ini memiliki empat propeller, yang digunakan untuk pemetaan jalur selatan menuju pintu masuk New International Yogyakarta Airports melalui Desa Plumbon, Kecamatan Temon, Kabupaten Kulonprogo. AbstractRole Analysis of Unmanned Aerial Vehicle Type MultiCopter in Improving the Quality of Aerial Photography Field in the Southern Path towards the Prospective New Airport in Kulonprogo. The world of photography is very closely related to the unattended aircraft called drones. Drones are mounted with camera so that the plane is pilot-controlled from the mainland. Photography results are seen by the pilot after the drone aircraft is landed. Drones are unmanned aircraft controlled remotely. Unmanned aircraft or Unmanned Aerial Vehicle (UAV), is a flying machine which is operated with remote control by the pilot. Technological developments make the drones also start widely applied to civilian needs, especially in the areas of business, industry and logistics. In business industry, drones have been applied in various services such as infrastructure monitoring, freight forwarding, forest fire-fighter, mining exploration, agricultural mapping, and industrial area mapping. Based on its type, there are two types of drones, namely multicopter and fixed wing. Multicopter is the type of drone that utilizes the spin of the propeller, while the fixed wing has an airplane-like shape with a wing system. The steps used in this study were as follows: drone making preparation, fly height planning, ground drone testing, camera calibration settings, air photo capture, air results viewing, and aerial photographs results analyzing. Drone used in this study has fourpropellers used for mapping south path entrance of New Yogyakarta International Airport through Plumbon Village,Temon sub-district, Kulonprogo regency.