Dissertations / Theses on the topic 'Smart agriculture'
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Grossi, Francesca <1983>. "Climate smart agriculture : beyond the theoretical definition." Doctoral thesis, Università Ca' Foscari Venezia, 2017. http://hdl.handle.net/10579/11973.
Full textMattos, Adriane Wassmassdorf. "Smart farming." Master's thesis, Universidade de Lisboa, Faculdade de Arquitetura, 2016. http://hdl.handle.net/10400.5/14196.
Full textGiua, Carlo <1994>. "Smart Farming in Italian agriculture: essays on adoption and diffusion dynamics shaping the agricultural digital transition." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2022. http://amsdottorato.unibo.it/10379/1/C.%20Giua%2C%202022.%20Smart%20Farming%20in%20Italian%20agriculture%20-%20essays%20on%20adoption%20and%20diffusion%20dynamics%20shaping%20the%20agricultural%20digital%20transition.pdf.
Full textPivoto, Dieisson. "Smart farming : concepts, applications, adoption and diffusion in southern Brazil." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2018. http://hdl.handle.net/10183/178439.
Full textSmart Farming (SF) is a modern set technologies that can be used to improve decision making and automation throughout agricultural activities. To accomplish this, some farmers are using the Internet of Things (IoT), which is new technology that allows objects to be sensed or controlled remotely across existing network infrastructures. Further, it can create opportunities for more direct integration of the physical world into computer-based systems, which can result in improved efficiency, accuracy, and economic benefits for SF users. Besides the new areas such as IoT, Cloud Computing, Cognitive Computing and Big Data, two fields have contributed to the development of SF: Precision Agriculture (PA) and Information Technology (IT). The present study analyzed SF’s innovative processes, beginning with the production of scientific knowledge through to SF’s final diffusion of these technologies into agriculture. The discussion and analysis are based on the theoretical contributions of the evolutionary economy and the techno-economic paradigms and were used to analyze technological revolutions. The work consisted of three distinct methodological steps First, to better understand the subject being studied, interviews were conducted with researchers and market professionals, from different areas, such as agriculture, electronics engineering and mechanization. During the second stage, text mining was used to analyze scientific literature on SF. In the third step an empirical research was carried out to analyze the adoption of SF technologies in real environment. To operationalize this step, a questionnaire was sent to grain farmers from the southern region of Brazil, which included Paraná, Santa Catarina, and Rio Grande do Sul. Since these grain' farmers produced 50% or more of the gross revenue in grains were included in the database. After the surveys were completed, the empirical data was used to analyze the adoption of these technologies. Based on the results, it was possible to infer that SF technologies are in the process of gestation and emergence. There has been intense scientific development in technologies, such as IoT and smart environments. Additionally, there has been a strong spillover effect from industries to agriculture. Because of this, it is expected that the number of SF innovations available to the market will grow over the next several years The study indicated main factors that a farmer chose to adopt SF were: potential increase in productivity, better process quality, cost reduction, and a greater knowledge of cultivated areas. Additionally, adding in these factors, education had the positive effect on the adoption of georeferenced soil sampling. The adoption of an autopilot spray pilot and management software was positively influenced by the size of the area. The results of the study have indicated that a higher level of schooling tends to increase the probability of adopting these technologies. It was also found that high equipment costs, the low qualification of rural workers, the precariousness of Internet access in Brazilian rural regions, and the need to insert a lot of data and information in specific programs available to take advantage of SF technologies are the main barriers faced by grain producers, which contribute to their delay in implementing SF technologies. Additionally, it has been verified that the machines used in the grain production systems are becoming digitalized—the availability of equipment with sensors and automated processes are rapidly increasing. However, from the famers’ perception, many technicians and consultants, such as agronomists and agricultural engineers, have not yet adapted to the new context of agriculture, with growing implementation of SF technologies amongst farmers. Thus, the question remains whether farmers and technical consultants can take advantage of available SF technologies and, if so, whether they can use these technologies to help them make decisions and monitor their farming practices. The results of this research can be used to further understand how SF technologies are being used among Brazilian grain producers.
ALIEV, KHURSHID. "Internet of Things Applications and Artificial Neural Networks in Smart Agriculture." Doctoral thesis, Politecnico di Torino, 2018. http://hdl.handle.net/11583/2697287.
Full textCasten, Carlberg Carl Johan, and Elsa Jerhamre. "Artificial Intelligence in Agriculture : Opportunities and Challenges." Thesis, Uppsala universitet, Avdelningen för datorteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-443576.
Full textArakelyan, Irina. "Climate-smart agriculture and rural livelihoods : the case of the dairy sector in Malawi." Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/28796.
Full textBOTTA, ANDREA. "Agri.Q - Sustainable Rover for Precision Agriculture." Doctoral thesis, Politecnico di Torino, 2022. http://hdl.handle.net/11583/2963950.
Full textJonarv, Hultgren Susanne, and Philip Tennevall. "Saving resources through smart farming : An IoT experiment study." Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-17968.
Full textShaif, Ayad. "Predictive Maintenance in Smart Agriculture Using Machine Learning : A Novel Algorithm for Drift Fault Detection in Hydroponic Sensors." Thesis, Mittuniversitetet, Institutionen för informationssystem och –teknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-42270.
Full textIssahaku, Gazali [Verfasser]. "Contribution of Climate-smart Agriculture to Farm Performance, Food and Nutrition Security and Poverty Reduction in Ghana / Gazali Issahaku." Kiel : Universitätsbibliothek Kiel, 2019. http://d-nb.info/1177797925/34.
Full textTangerino, Giovana Tripoloni. "Método de amostragem de área agrícola com sensores embarcados: uma abordagem que leva em conta a variabilidade do campo." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/18/18145/tde-22072016-142046/.
Full textThe present work highlights the importance of using farming practices that encourage the maintenance of agriculture in high levels of productivity and, at the same time, enable reduction of the negative effects of agriculture on the environment. The work is in the context of acquisition of crop information considering its variability for use in Precision Agriculture. The development of a smart sampling method has been proposed, which uses of embedded sensors in autonomous vehicles with a processing capacity together with sampling geostatistics techniques. The sampling process takes into account the spatial dependence of the field, obtaining strictly the necessary amount of information to subsequent analyzes in a reliable way. It also aims to sample areas of higher variability more densily and areas of lower variability less densily. The developed method performs the exploration in two phases. In the exploratory phase, a nested sampling scheme adapted to the characteristics of the system is used. In this phase, the first assessment about the spatial scale of variability of the field is done. In the main survey phase, grid samplings are performed in stages, as many times as necessary until the decision criteria are reached. At the stages of the main survey, decisions are taken based on the quality and variability density of the samples, and this establishes whether the area should be better sampled or divided into subareas. The user determines the minimum precision to be reached. The structural capabilities of the machine, that will perform the variable rate applications, also restrict the system precision. The result analyses show that the number of samples reduced 98% and the final distance ran by the autonomous vehicle reduced 49%, compared to traditional methods that use embedded sensors to collect data. Thus, the use of the proposed method represents reduced computational costs of data storage and processing, fuel costs and manpower. The results show that the sampling based on variability density is feasible, rationalizing the quantity, quality and layout of the information obtained and stored. In summary, the proposed sampling method shows potential capacity to be used as a tool to support new agricultural practices, offering a more efficient and smart alternative to traditional methods of data collection.
Nasser, Felix. "Climate-smart cocoa in Ghana: Examining discourses, trade-offs and implications for cocoa smallholders." Thesis, Stockholms universitet, Stockholm Resilience Centre, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-194713.
Full textSimpson, Christine Honan. "Conservation engineering outreach| Curriculum development and evaluation of Smart Fishing in the Bering Sea." Thesis, Alaska Pacific University, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=1571622.
Full textThe purpose of this project to was to 1) develop, 2) instruct, 3) evaluate, and 4) revise a 5th-12th grade fisheries conservation engineering outreach program entitled Smart Fishing and the Bering Sea (SFBS).
Fishery resources are important to Alaska and Alaskans, but present complex conservation challenges including user conflicts and concerns about unsustainable fishing practices. Increasing Alaska residents' environmental literacy will enhance natural resource management decisions regarding fisheries. The intent of the SFBS program is to introduce students to ecological and economical factors that drive conservation engineering in the Bering Sea pollock fishery. I instructed the SFBS program to 93 students from four different public and private institutions in Anchorage, Alaska. My observations and participants' pre- and post-program concept maps were used to evaluate the effectiveness of the SFBS curriculum. Participants gained content knowledge from this fishery outreach program about the Bering Sea and commercial fishing. Program evaluation analysis and results were used to revise the curriculum and make suggestions to SFBS stakeholders.
ARDENTI, FEDERICO. "CONTRIBUTION OF AGROECOLOGICAL MEASURES TOWARDS CLIMATE-SMART AND MULTIFUNCTIONAL FARMING SYSTEMS." Doctoral thesis, Università Cattolica del Sacro Cuore, 2023. http://hdl.handle.net/10280/135602.
Full textGrowing population, land degradation and climate change are significant threats to food security and human development. Conventional intensive farming is usually associated with soil quality depletion and environment pollution, through soil organic matter mineralization as carbon dioxide (CO2) and nitrogen release as reactive forms to atmosphere and water, thus promoting global climate change. The adoption of sustainable agroecosystems management is key for adapting to climate change while increasing soil quality and lowering agricultural impact on global warming. The main objective of this thesis is to evaluate the performances of climate-smart practices (i.e., no-till, cover crops, and subsurface drip irrigation) in terms of crop yield potential, soil quality increase and reduced impact on climate change. We concluded that conservation practices (no-till and cover crops) may ensure comparable crop yields to conventional system while high-efficient micro-irrigation systems (subsurface drip irrigation) are particularly effective under dry climate conditions. Moreover, such sustainable farming practices may (i) positively affect soil quality by enhancing carbon and nitrogen content into the soil, as well as (ii) reduce agricultural impact on climate change by lowering the release of nutrients to the environment.
Shahzad, Muhammad Faisal [Verfasser], Awudu [Akademischer Betreuer] Abdulai, and Martin [Gutachter] Schellhorn. "Climate-Smart Agriculture in Pakistan: Implications for Climate Risk Management, Food Security, and Poverty Reduction / Muhammad Faisal Shahzad ; Gutachter: Martin Schellhorn ; Betreuer: Awudu Abdulai." Kiel : Universitätsbibliothek Kiel, 2020. http://d-nb.info/1218534028/34.
Full textCOSTANTINO, ANDREA. "Improving Climate Control and Energy Performance in Greenhouses and Livestock Houses: Modeling Advances and Experimental Results." Doctoral thesis, Politecnico di Torino, 2021. http://hdl.handle.net/11583/2942126.
Full textLee, Angela. "Seeding Sustainability Over Extracting Capital: Advancing a Vision for Technology Justice in the Canadian Agri-Food Sector." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/42003.
Full textMohammad, Ammad Uddin. "UAV Routing Protocol (URP) for crop health management." Thesis, Brest, 2017. http://www.theses.fr/2017BRES0147/document.
Full textWireless sensor networks are now a credible means for crop data collection. The installation of a fixed communication structure to relay the monitored data from the cluster head to its final destination can either be impractical because of land topology or prohibitive due to high initial cost. A plausible solution is to use Unmanned Aerial Vehicles (UAV) as an alternative means for both data collection and limited supervisory control of sensors status. In this paper, we consider the case of disjoint farming parcels each including clusters of sensors, organized in a predetermined way according to farming objectives. This research focuses to drive an optimal solution for UAV search and data gathering from all sensors installed in a crop field. Furthermore, the sensor routing protocol will take into account a tradeoff between energy management and data dissemination overhead.The proposed system is evaluated by using a simulated model and it should find out a class among all under consideration
Sjögren, Henry, and Elias Embaye. "Jordbruk som innovationsnätverk : Hur påverkar närhet och distans innovationen?" Thesis, Uppsala universitet, Kulturgeografiska institutionen, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-448019.
Full textKinhou, Viwagbo. "La souveraineté alimentaire dans une perspective de sécurité alimentaire durable : illusion ou réalité ? : le cas de la filière riz dans la commune de Malanville au Nord-Est du Bénin." Thesis, Rennes 2, 2019. http://www.theses.fr/2019REN20009/document.
Full textRice has become a primary consumed product in Benin. Studies have revealed it will become the most consumed cereal in west Africa within the next decades. Despite the resources Benin possesses favouring rice culture and the government measures to promote it, the household supply remains unsatisfactory when compared to the objective set by the country to reach food sovereignty. The present essay analyses the government policies in order to reach a sustainable food sovereignty through rice culture. In depth, exploratory surveys have been conducted among the rice farmers. Qualitative and quantitative data was collected through structured questionnaires and guided interviews revealing the comparative advantage local rice has over imported one. Efforts have yet to be made in order for Malanville rice famers to reduce their production costs and become more competitive. Education level, access to loans, rice farmers experience as well as their social status are the key factors influencing the implementation of new technologies allowing an increase of productivity. Rice production and food sovereignty should be attained by implementing simultaneously income support policies, funded fertilizers, climate-smart culture and ploughing by oxen
Ahmed, Faizan. "Global IoT Coverage Through Aerial And Satellite Network." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281245.
Full textInternet of Things (IoT) och maskintypkommunikation (MTC) har fått mer fart under de senaste åren men måste fortfarande penetreras med sin fulla sväng i vårt dagliga liv. Detta kan vara möjligt med allmän ramverk som ger global nätverkstäckning. Icke- markbundna nät bestående av satelliter och flygplattformar förväntas tillhandahålla nästa generations kommunikationstjänster i undervärdiga och obetjänade områden genom att säkerställa kvaliteten påtjänster som inte kan täckas av befintliga marknät pågrund av ekonomiska och geografiska begränsningar. Syftet med den här avhandlingen är att formulera en uppsättning massiva och kritiska MTC-användningsfall som global miljöövervakning, spårning av fraktcontainrar och smart jordbruk, och utvärdera deras omfattande krav som datastorlek, sensornoddensitet och upplänkkapacitet och diskutera möjliga nätverk arkitekturer och distributioner med fokus påsatellit- eller flygnät. En rigorös diskussion om olika nätverksarkitekturer för att möta kraven har presenterats, som involverar (1) Low Earth Orbit (LEO) satellitbaserat nätverk, (2) High Altitude Platform (HAP) baserat nätverk, och (3) HAP och UAV baserat nätverk. De föreslagna nätverksarkitekturerna har simulerats och analyserats med MATLAB-verktyg för respek- tive användningsfall i termer av det nödvändiga antalet satelliter eller flygplattformar. Kriterierna för val av nätverksarkitekturer för användningsfallen är baserade pådet minsta antalet satelliter eller flygplattformar. Resultaten visar att LEO-konstellationen bestående av 260 satelliter är möjlig när det gäller distribution och hantering för globalt miljöövervakningsnätverk. Påliknande sätt ger 1440 LEO-satelliter global täckning för spårning av fraktcontainrar. Småjordbruksanvändningsfall kräver hög kapacitet, och följaktligen är HAP och UAV integrerad nätverksarkitektur mer realistisk för ett helt autonomt system jämfört med andra nätverksarkitekturer. Kooperativ kontroll och hantering av jordbruksmaskiner kan utföras vid UAV. Simuleringsresultat visar att en enda UAV kan vara kapabel att kommandera och kontrollera jordbrukssmarta maskiner i ett kvadratkilometer grödningsfält och kan skicka sammanfattningen av händelser till centralstationen via HAP.
TAMAGNONE, PAOLO. "Progress in planning mitigation and adaptation strategies driven by indigenous knowledge and numerical modelling to face hydrometeorological hazards in the Sahel." Doctoral thesis, Politecnico di Torino, 2021. http://hdl.handle.net/11583/2912982.
Full textWahl, Jacob D. "Development and Characterization of an IoT Network for Agricultural Imaging Applications." DigitalCommons@CalPoly, 2020. https://digitalcommons.calpoly.edu/theses/2131.
Full textKlingner, Matthias. "Konzeptwechsel als Chance – Schwarmtechnologien und Digitalisierung der Landwirtschaft." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2018. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-234731.
Full textFitzek, Frank H. P. "Echtzeitfähige Funkvernetzung für hochautomatisierte Arbeitsmaschinen und -prozesse in der Landwirtschaft." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2018. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-234764.
Full textTrautz, Dieter, and Insa Kühling. "Automatisierungspotential und Technikanforderungen im ökologischen Landbau." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2018. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-234781.
Full textLeeb, Theodor. "Technikentwicklungen für Nachhaltigkeit." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2018. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-234798.
Full textDueck, Gunter. "Landwirtschaft 4.0 - Disruptive Innovationen und Herausforderungen an menschzentrierte Technikentwicklung." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2018. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-234807.
Full textGruppioni, Carlotta. "Comparing semantics based and not semantics based Information Flow Processing in a case of drone-driven agricultural irrigation." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016.
Find full textZecha, Christoph. "XAVER - Roboterschwarm für das Feld." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2018. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-234755.
Full textBrunsch, Reiner, and Cornelia Weltzien. "Gesunde Ernährung, Anforderungen und Potentiale der Rückverfolgbarkeit und Transparenz-Idee der dezentralen Wertschöpfungsketten." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2018. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-234777.
Full textCavina, Andrea. "Recycling the city: a sustainable planning framework to reduce, reuse and recycle urban residual spaces." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/8710/.
Full textvan, Staden Wilma. "A review of Climate-Smart system innovations in two Agricultural Colleges in the North West Province of South Africa." Thesis, Rhodes University, 2018. http://hdl.handle.net/10962/63426.
Full textThorn, Jessica Paula Rose. "Ecosystem services, biodiversity and human wellbeing along climatic gradients in smallholder agro-ecosystems in the Terai Plains of Nepal and northern Ghana." Thesis, University of Oxford, 2016. https://ora.ox.ac.uk/objects/uuid:3319dafc-5b0c-436a-b653-a623fc3e8de4.
Full textCortez, Zaga Christopher Americo, and Llamacponcca Victor Martin Casas. "Modelo para el intercambio de bienes en el sector agrícola empresarial peruano utilizando las tecnologías Smart Contracts y Blockchain." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2020. http://hdl.handle.net/10757/653295.
Full textThe Peruvian agricultural sector must have an infrastructure that does not limit the commercialization of goods among farmers by the dependence of an intermediary. However, this is not the reality because currently to make a purchase or sale of a product, you need an intermediary to validate certain activities. An alternative to reduce this dependence is the use of web tools through the internet so that farmers can offer their products to the market and buyers have a greater variety for their choice; however, this generates a great concern in the population since there is a distrust for the lack of security that this entails. Smart Contracts and Blockchain, which are emerging technologies that offer new opportunities for decentralized market designs, these allow to increase the security of the transactions, savings by not depending on an intermediary, increase the confidence of the farmers and improve the country's growth. This project proposes a model that uses Smart Contract and Blockchain technologies applied in the Peruvian agricultural business sector, which allows both the buyer and the seller to commercialize agricultural products. The results of the surveyed companies and three experts were satisfactory, many of the companies have had good acceptance according to the survey carried out, 50% of the companies consider the model as "Very acceptable" according to the characteristics mentioned in the survey and the other 50 % as "Acceptable"; Likewise, the experts validate the model according to the Blockchain use cases and the Solium methodology to verify that the Smart Contracts were defined correctly.
Tesis
WU, PENG-TA, and 鄔朋達. "Smart Contract of Organic Agriculture Subsidy." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/e7ucp8.
Full text東吳大學
資訊管理學系
107
Recently, the blockchain technology has been valued. With the support of resources across many industries, an increased number of innovations are made available, the emerging commercial modes in the financial technology in particular. The government, by employing the smart contracts, can change the way they deliver services and business processes to reduce the administrative cost. The government, in order to protect the interests of farmers, implements plural subsidy policies. The subsidy amount exceeds over half of the annual agricultural budget and the subsidy given to organic agriculture hikes year by year. Without being certified by organic agriculture certification companies, it is not allowed to make any organic claim. When farmers consider converting to organic, the costs may hinder their willingness, so the government grants subsidies to farmers in need of organic certification. The study employed the ethereum smart contract based on the blockchain technology to develop a prototype of the organic farming subsidy payment system. Compare the system with the current subsidy process, it shows that the system has the following advantages: 1. All applications must be submitted through the online application system, and farmers can apply for subsidies online at any time. 2. Integrate farmers' information flow into government's. E-procedures can reduce the working hours of review. 3. Using smart contracts to store data on the blockchain. With subsidies granted by cryptocurrency to ensure timely releases of funds.
Montero, Erick Alejandro Moran, and 任秉晨. "IoT in agriculture - a proposal of smart agriculture in Ecuador." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/37cr35.
Full text國立政治大學
國際經營管理英語碩士學位學程(IMBA)
107
Agriculture in Ecuador is not efficient due to the limitations in terms of technology in its production processes. Research has shown that Ecuadorian farmers do not use any technology to work their land, generating waste of resources and slow development. This study aims to show the historical delay of certain countries, using Ecuador as an example, due to the lack of information. In this context, the application of IoT throughout the world has been studied, in order to evidence the positive results obtained. Based on a content analysis, this research takes a brief journey, from the four Industrial Revolutions to the current applications of the IoT (Internet of Things) technology in agriculture. In addition, the research analyzes the situation of agriculture in Ecuador with respect to the use of technology. Additionally, two simple and useful IoT systems have been studied and explained, with the purpose of illustrating their specific and real positive effects. Finally, a proposal for the implementation IoT Technology in agriculture is analyzed, through the associative and cooperative models, revealing a promising scenario of opportunities.
Shih, Ching-Chiu, and 施勁秋. "Artificial Intelligence of Things for Smart Agriculture." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/sz9v2c.
Full text國立臺灣科技大學
電機工程系
107
Artificial intelligence (AI) and the Internet of Things (IoT) technologies have been on the rise in recent years. These technologies are based on installed sensors and big data that these sensors collect. Data sensing and analysis have therefore become a popular research topic. The present study integrated AI and the IoT with the knowledge of agricultural experts to develop an expert agricultural cultivation system that realizes cultivation management and farm operations without human labor for the purpose of establishing an optimal irrigation schedule and automated cultivation system. In the present study, an Artificial Intelligence of Things architect that uses low-power-consumption outdoor IoT sensors in the sensing layer was constructed. A dynamic environment detection mechanism was proposed for sensor data transmission, in which data was transmitted on the basis of data characteristics to reduce the total number of transmission times and save energy. In the communication layer, low-power-consumption Long Range Wide Area Network (LoRaWAN) was used in combination with Message Queuing Telemetry Transport protocol to increase the transmission distance and reduce energy consumption. The edge layer consisted of an AI module and irrigation module. In the AI module, a data collection function was used to collect sensing data, and a growth status function was used to calculate the maturity level of crops by using color blocks. A plant water requirement function was used to predict the amount of water needed by the crops. Extreme gradient boosting (XGBoost) was adopted to build a prediction model. The algorithm of XGBoost effectively reduces variance and reduce bias, thereby ensuring that the prediction reflects the actual situations. The watering decision function schedules watering according to expert experience and performs watering prediction. The irrigation module receives messages from the AI module and delivers them to the watering controller, thereby completing a cultivation system without human labor. This study compared the prediction accuracy of the generalized additive model, support vector machine, random forest, and XGBoost and determined that XGBoost had optimal prediction accuracy and obtained the lowest mean square error (0.0085). The experimental results of the proposed architecture were revealed to show 50% and 30% less water consumption during irrigation than those obtained from using fixed and threshold watering times, respectively. The proposed method demonstrates more precise watering of crops. The dynamic environment detection transmission mechanism exhibited a 97.8% lower communication frequency compared with the fixed-schedule transmission mode and effectively reduced the overall energy consumption during transmission. In the analysis of human labor, the proposed system was discovered to reduce the cultivation time by 40.94% compared with manual cultivation, thus facilitating more effective farm management. The experimental results indicated that the proposed method can serve as a convenient cultivation model for farmers.
Chen, Yu-Xian, and 陳昱憲. "Arduino-based IoT Framework for Smart Agriculture Application:A Case Study for Smart Coops." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/wy4gh6.
Full textHOU,SHENG-TAI and 侯聖泰. "Analysis of Smart Agriculture Irrigation Based on Fuzzy Control." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/9b946t.
Full text國立高雄科技大學
電子工程系
107
In 2050, the global population is estimated to reach 9.5 billion people. The estimated food demand will be the double of the current. It is imperative to use science and technology agriculture to increase food productivity. In Taiwan, agricultural revenue in 2015 was 500 billion NTD, but the food self-sufficiency rate was only 31.4%. Due to the gradual aging of the rural population, the shortage of manpower, coupled with the increasingly severe climate change, has led to considerable impact on agricultural production capacity. According to the statistics of the Water Resources Department of the Ministry of Economic Affairs, agricultural irrigation water accounts for 73% of the total water consumption of the whole Taiwan. Most of the current irrigation systems only rely on experience to judge the dry moisture supply of the soil surface, which is easy to cause water waste. This study uses fuzzy theory to further explore the current agricultural irrigation system, providing different water needs according to the different root depths of its crops. Numeric results shown that the accuracy of the irrigation iferred by the proposed fuzzy system is about 90.8%. Followed by smart agriculture management, tracking soil moisture, precise irrigation, avoiding Keywords: Fuzzy algorithm, irrigation water, Smart agriculture,Fuzzy inference
Lin, Chen-I., and 林貞誼. "A Study on Product Strategy of Smart Agriculture Solution." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/zjb76m.
Full text國立政治大學
經營管理碩士學程(EMBA)
107
The supply and demand situation of the agricultural industry and related issues directly affect the stability of human society and economic development. Relevant agricultural management units of various governments have launched various development plans related to the development of smart cities, as well as policies and programs to enhance agricultural development with smart technology, and hope to use ICT, Internet, and IOT-Internet of Things ), mobile networks, big data (Big Data), cloud technology (cloud computing / cloud platform), intelligent robot (AI) and blockchain (Block Chain), fifth-generation mobile communication technology and other smart technologies come Enhance the performance of supply and demand operations in the agricultural industry, and many well-known groups at home and abroad have also cooperated to develop various smart agricultural solutions. How can relevant smart agricultural solutions help the agricultural industry to break through the current challenges? How can the agricultural industry chain increase the overall value of the agricultural industry chain through smart agricultural solutions? How can the providers of smart agricultural solutions be? Growth in performance and revenue growth? This study is mainly to explore the current difficulties encountered by the agricultural industry as a starting point to define the problems that the agricultural industry needs to solve, as well as solutions that can be adopted. Through research to summarize the smart solutions for related agricultural applications, and the business value they bring, there are bottlenecks in related applications. And This study takes the case of agricultural smart solutions launched by internationally renowned groups in strategic alliances as an example to explore how to improve the efficiency and value of the agricultural industry chain, and to study how the relevant groups in this case can communicate through the inter-group strategic alliance. To provide a more complete and relevant smart agricultural solution to create a greater competitive advantage. This study also makes recommendations based on the research results as a reference for other related research.
Cambra, Baseca Carlos. "PLAtaforma TEcnológica Multimedia para la Agricultura de Precisión (PLATEM Precision Agriculture)." Doctoral thesis, 2020. http://hdl.handle.net/10251/135820.
Full text[CAT] Existeixen gran quantitat de treballs relacionats amb l'automatització de processos en agricultura. Amb la revolució la Internet de les coses (de l'anglès Internet of Things o IoT) estan apareixent al mercat multitud de dispositius capaços d'interconnectar sensors. Més enfocat a l'agricultura intensiva, s'estan comercialitzant productes IoT que, tot i que els seus desenvolupadors asseguren que són capaços d'automatitzar les tasques en els cultius, veiem que no és així. Molts productes tecnològics desenvolupats per a utilitzar-los a l'agricultura de precisió, com són els programadors de reg tele gestionats, funcionen de forma independent amb altres tecnologies usades en l'agricultura. En aquests moments i amb l'avanç tecnològic actual, existeix la possibilitat d'aplicar unes rutines de reg adequades amb les necessitats reals del cultiu en terra, combinat amb la mesura de les necessitats de cultiu preses via satèl·lit o mitjançant vehicles aeris no tripulats o dron des de l'aire, adaptant les variables de forma automàtica en una única plataforma de gestió. Si el patró de producció de la meva explotació funciona bé, la PLAtaforma TEcnològica Multimedia (PLATEM) permetrà compartir l'estratègia seguida per tal que socis cooperativistes o persones que estiguin registrats en la xarxa social, puguen vore-la i veure els continguts publicats en ella sobre sistemes de control agrícoles. Aquesta tesi es centra en la investigació, disseny i desenvolupament de noves tecnologies per a integrar tots els sistemes presents en un sistema automàtics, considerant, des de la monitorització de paràmetres, fins al processat i pressa de decisions per a una administració eficient, sent PLATEM una ferramenta òptima per a la comunitat professional d'agricultors i amb una usabilitat propera a l'agricultor. Primerament, es presenten treballs previs relacionats amb la captura de dades procedents de cultiu i funcionament de reg a través del processat de vídeo realitzat amb drons de vol autònom. Seguidament, es presenten els dispositius presents en la xarxa sense fils de sensors orientada a captura de dades terrestres i els actuadors utilitzats per al reg tele-gestionats d'ultra baix consum energètic. Per això, el nostre treball se centra en xarxes de comunicacions de banda estreta, molt adequades per a l'ús en el medi rural. El nostre sistema permet mantenir un dispositiu comunicat i capaç de controlar les vàlvules en terrenys extensió de 16 hectàrees amb una pila comercial de 9 volts durant tota una campanya de reg, sense necessitat de plaques solars. Finalment, tota la informació i interoperabilitat dels dispositius que integren la xarxa necessiten una gestió integral en un únic sistema amigable amb l'usuari. En aquest punt presentem un servidor amb un motor de regles de negoci que aplica machine learning amb autoaprenentatge capaç de generar decisions per als controladors de reg, tenint en compte les dades dels sensors de parcel·la i ambientals. Aquesta informació és capaç de publicar-se entre grups socials d'usuaris i intercanviar mètodes de treball i consignes. Tots els desenvolupaments i propostes han estat combinats amb estudis de consums energètics. A més, s'ha realitzat un estudi en camp de les xarxes sense fils de sensors desplegades en el medi rural sota condicions altament problemàtiques per a comprovar el correcte funcionament del sistema sencer.
[EN] There are many works related to the automation of processes in agriculture. With the revolution of the Internet of Things (IoT), many devices capable of interconnecting sensors are appearing on the market. The focus is on intensive agriculture in a market where designers and marketers of IoT products present designs for the automation of crop production, claiming systematic achievements that ar not always compatible with agricultural reality. Many technological products, such as remote or WiFi management of irrigation programmers, focused on precision agriculture, are independent systems with no connection to other agricultural technologies. At this time and with the current technological advance, it must be integrated irrigation schedules in response to the real time needs of crop nutrition determining cultivation needs are transmitted via satellite or drone, in a platform will automatically integrate intelligent irrigation systems on the plot of land in relation to thermal analysis and crop vigor. If the production patterns of a farm are promising, PLAtaforma TEcnologica Multimedia (PLATEM) will allow disseminate a strategy followed to cooperative partners or people who are registered in the social network can see it and see the contents published in it on agricultural control systems. This thesis will attempt to solve the above-mentioned issues: the integration from start to finish of data capture and open data decisions for a community of professional farmers. Firtsly, we will review the literature on data harvesting of irrigation decisions for cultivation through computer-processed videos recorded by drones with autonomous flight mapping. Next, the devices present in a Wireless Sensor Network (WSN) are presented aimed at capturing terrestrial sensory data connected to tele-managed irrigation systems with ultra-low energy consumption. Hence, the focus of this work is firmly set on narrowband communication networks that are very suitable for use in rural areas. Our system maintains a communicated device capable of maneuvering valves within an area of 16 hectares with a commercial 9-volt battery throughout an irrigation campaign, with no need for solar panels. Finally, all the information and interoperability described in the previous sections will need integral management. At this point, we present a server with a business rules engine and machine learning with (self-learning) decision trees capable of generating decisions for irrigation controllers. The basic layer consists of the data processing of data mining models. The second layer consists of model training with historical data and the third layer applies to machine learning that generates the best results for guidance on recommendations. This information can be published and shared on social media between groups of users for the exchange of working methods and opinions regarding crops, cultivation strategies and demonstration plots. All of the proposed developments and proposals have been grounded in systematic energy consumption studies of all devices in the intelligent irrigation systems. In addition, a field study is conducted of the WSN deployed in rural areas under highly problematic conditions to determine the correct functioning of the entire system.
Cambra Baseca, C. (2019). PLAtaforma TEcnológica Multimedia para la Agricultura de Precisión (PLATEM Precision Agriculture) [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/135820
TESIS
Rocha, Humberto Emanuel Francisco. "Autonomous vehicle/robotic platform for smart and precision agriculture inside greenhouses." Master's thesis, 2022. https://hdl.handle.net/10216/140717.
Full textChung, Yao-Nien, and 鍾燿年. "Development and Application of Smart Agriculture: The Case of Strawberry Industry." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/f25wh2.
Full text國立臺灣大學
生物科技管理碩士在職學位學程
107
In the face of extreme weather, aging agricultural manpower, food safety and other challenges, global agriculture has applied intelligent agricultural-related technologies such as ict, the Internet of Things (IoT) and big data (Big Data), and grasped more accurately key data through sensors. Those will make more effective and comprehensive maintenance of food security, food safety and ecological safety. Strawberry is one of the important small berries produced in temperate regions. As Taiwan is located in the subtropical zone, climate change is great, and the seedling raising period coincides with typhoon season, greenhouse seedling raising can reduce the risk of seedling loss caused by typhoon, while the rainy and humid climate during the cultivation period makes the fruit rotten easily, and the spread of diseases and insect pests is rapid, which makes the control difficult, thus affecting the quality and yield of strawberries. From the strawberry chain model developed by the research object in this study, Taiwan''s industrial trends such as electronic technology contract, agricultural technology research and development are very suitable for the development of smart agriculture. Therefore, if the cultivation of strawberries in greenhouses and smart agricultural systems, in addition to protecting crops, can also provide tourists with a good strawberry garden harvesting environment, improve the situation of open-air cultivation of strawberry garden that cannot provide tourists to pick fruits and the fruits are easily damaged in rainy days. It is more hopeful to produce summer strawberries to supplement the current strawberry industry, further so that the strawberry industry system is more perfect. In the future, there should be an opportunity for the whole factory to export strawberry planting model in this smart greenhouse to other areas and create greater output value.
Chan, Tzu-Kuan, and 詹子寬. "LED Lighting Control for Smart Farms : A Simple Application of Precision Agriculture." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/2ba366.
Full text國立中央大學
通訊工程學系在職專班
107
With the popularity of network equipment, making good use of the Internet of Things (IoT) to connect all devices and data collection on Precision agriculture could be more efficiency, quality improvement and cost reduction. Light is an important factor in plant growth because it is necessary for photosynthesis This thesis designed and developed the "Cloud LED Plant Lighting Control Method" through plant farms scenario, and proposed a cloud computing algorithm. According to the plant growth time course, the required wavelength for photosynthesis was independently selected, brightness was automatically adjusted and the cloud could also integrate and complement the ambient light to reduce the power consumption of the lighting equipment. The design of "Cloud LED Lighting Power Conditioning System" in this study could be divided into three subsystem architectures: environmental monitoring terminal, power distribution terminal and cloud integration terminal. The technology includes the sensing device detection technology and the power distribution unit (PDU) control technology, cloud man-machine graphical operation interface compilation, ambient light complementary technology, digital dimming technology, etc. Therefore, combining with the Internet of Things technology for the intelligent farm cloud LED lighting control method could not only replace the traditional manpower management, but also monitor the power information and control the lighting through the cloud integration interface, and could perform the instant dimming according to the conditions of the ambient light source. In addition to the environment of sustained plant growth, it could reduce power waste as well. By the research results of this thesis, it was used as a lighting infrastructure system for the development of precision agriculture, which not only reduced the dependence of lighting equipment on energy, but also directly reduced the cost of electricity for farmers.
Yang, SungJu, and 楊松儒. "Design and Research of Smart Agriculture Cloud Systems Base On Serverless Operation." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/pw3a77.
Full text國立中央大學
通訊工程學系在職專班
107
Recently, the realization of smart agriculture, whether it is data analyzing, or image uploading to the cloud after drone tracking, or even the implementation of agricultural related applications or automation, ultimately are all utilizing cloud services. But the high cost of cloud implementation is not affordable by most enterprises and farmers. Even if some existing cloud services are available, such as the sensor module suppliers, the service is still constrained by the cloud system feature limitations and lack of flexibility. This paper proposes a cloud architecture with serverless as the core development, which can effectively reduce the cost of enterprises and farmers deploying smart agriculture cloud systems to replace the existing traditional server architecture services. The lower cost of hardware and software implementation also reduces the difficulty of cloud implementation and the subsequent maintenance cost. In the meantime it also improves the flexibility and usability of the system significantly. After the deployment and the cost reduction of its use, the experimental result of the LoRa node agricultural sensor does help improving farmer’s crop productivity. This model is not limited to agricultural applications, but it can potentially be applied to other areas, such as: software applications, interactive robots, etc., to improve business performance and productivity.
lombardo, stefania. "Studies on the adoption of digitalization and high technology for precision agriculture." Doctoral thesis, 2020. http://hdl.handle.net/2158/1212002.
Full textHuang, Jen-En, and 黃振恩. "The Design and Implementation of Agriculture Blockchain Platform with IoT Based Smart Contracts." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/4838cu.
Full textBuhl, Martin Thomas. "Agriculture In change: evaluation of factors influencing the adoption of smart farming technologies in Portugal." Master's thesis, 2021. http://hdl.handle.net/10362/132387.
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