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Dissertations / Theses on the topic 'Drone Technology in Agriculture'
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Jackman, Anna Hamilton. "Unmanned geographies : drone visions and visions of the drone." Thesis, University of Exeter, 2016. http://hdl.handle.net/10871/26196.
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This thesis approaches the study of the (aerial) military and non-military drone through an examination of the communities that variously compel and propel it into action: that culturally constitute it. Employing the term ‘proponent communities’, this thesis approaches the drone through an empiric-led exploration of such actors, those including: manufacturers, industry, regulators, governments, militaries, trade associations and end users. These proponent communities are accessed through fieldwork at three central sites, namely military and non-military tradeshows, military conferences, and through the completion of numerous industry educational courses. Whilst by no means a homogenous group, such communities remain important in crafting, composing, (re)producing and circulating both technical and cultural knowledges of the drone. In approaching the drone’s cultural constitution, the thesis pursues two distinct analytic foci. First, in response to the tendency of extant scholarship to focus upon what the functioning drone does and its implications, thus treating it like a ‘black box’, the thesis ‘opens’ the drone through an exploration of particular proponent cultures through which it is instituted. Examining both the role of military drone operators and the employment of drones with multi-sensory payloads in emergency service settings, over two chapters the thesis explores the cultures through which the drone comes to function in framing that below it. Second, the thesis explores a series of mechanisms through which the drone is articulated, visualized and otherwise legitimated as a tool, asset, and commodity within military and non-military drone tradeshows. In approaching the drone at the tradeshow, the thesis expands extant analyses of the drone by considering its cultural constitution at such hitherto unexamined sites of consumption. In approaching the cultural constitution of the drone through these two strands of investigation the thesis offers three contributions. First, in working within a research context punctuated with access limitations, the thesis opens up different windows of access at which drone proponent communities gather, form, and (re)compose drone knowledges. Second, in approaching the drone at sites in which it is instituted and traded, the thesis engages with both proponent knowledges of employment, and articulations of expectation and potential therein. It demonstrates that such an engagement facilitates the challenging of several dominant and entrenched narratives surrounding the drone, variously revealing them as inadequate, fractured, or fantastical. Third, whilst the main contribution of this thesis is to geographies, and the wider interdisciplinary field, of drone scholarship, the thesis argues for, and demonstrates the value of, engaging with alternative geographical literatures in developing its argumentation. In situating the drone within such wider discussions and landscapes the thesis thus productively develops distinct frameworks through which to conceptually and empirically engage with the drone.
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Bananga, L. A. "Information technology of autonomous drone control system design." Master's thesis, Sumy State University, 2021. https://essuir.sumdu.edu.ua/handle/123456789/86926.
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Novak, Dora. "Drone(s) trajectory optimization for mapping missions." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPASG069.
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L'utilisation des drones dans le contexte de l'agriculture de précision peut optimiser la gestion de l'exploitation et augmenter la productivité agricole tout en protégeant l'environnement. Toutefois, les drones présentent certaines limites qui doivent être prises en compte lors du développement de solutions de sa mission. Le cadre du problème de la cartographie avec un ou plusieurs drones peut être divisé en deux sous-problèmes : la planification de la mission de cartographie et la pilotage du drone. La première étape définit la trajectoire à suivre pour couvrir la zone d'intérêt de manière efficace compte tenu des limites du drone, tandis que la seconde garantit que le suivi de la trajectoire planifiée est effectué avec succès. Afin d'augmenter l'efficacité temporelle et d'assurer une mission à faible dépense énergétique, une nouvelle approche pour l'optimisation de la gestion de la batterie du drone lors de la planification de la mission de cartographie est proposée dans ce travail. La stratégie développée optimise l'utilisation des batteries disponibles pour la mission de cartographie en minimisant la distance de vol totale et en réduisant le nombre de remplacements de batteries. La suppression des remplacements de batterie inutiles réduit la durée totale de la mission, mais évite également les cycles redondants de recharge de la batterie. La distribution des points d'intérêt résultant de la planification de la mission représente les sous-chemins de survol d'un drone doté de plusieurs batteries. Afin de suivre la trajectoire planifiée avec une erreur de suivi minimale, une approche de commande prédictive non linéaire pour un suivi de trajectoire robuste est développée. Cette approche est finalement étendue à une mission de cartographie impliquant plusieurs drones coopératifs, où la sécurité de la mission est assurée principalement en tenant compte de l'évitement des collisions<br>Using Unmanned Aerial Vehicles (UAVs) in the context of Precision Agriculture (PA) can optimize farming management and increase agricultural productivity while protecting the environment. However, UAVs have certain limitations that must be considered when developing solutions. The problem framework for conducting mapping with a single or multiple UAVs can be divided into two subproblems: mapping mission planning, and UAV control. The former step defines the path for covering the area of interest in an efficient manner considering the UAV limitations, while the latter ensures that trajectory tracking of the planned path is successfully completed. In order to increase time efficiency and ensure an energy-aware mission, a novel approach for UAV battery management optimization of the mapping mission planning is proposed in this work. The developed strategy optimizes the use of batteries available for the mapping mission by minimizing the total flight distance and reducing the number of battery replacements. Removing unnecessary battery replacements reduces the overall mission time, but also avoids redundant battery recharging cycles. The resulting waypoint distribution from the mission planning represents the subpaths for a UAV with multiple batteries. In order to follow the planned path with minimal tracking error, a nonlinear predictive control approach for robust trajectory tracking is developed. This approach is finally extended to a mapping mission involving multiple cooperative UAVs, where mission safety is ensured primarily by considering collision avoidance
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KUGELBERG, EDVIN, and OSCAR ANDERSSON. "Wind Vector Estimation by Drone." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-280285.
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An original approach for measuring wind speed and direction by the use ofdrones was proposed and compared to an existing one. The original approach allowed the drone to drift with the wind and use the translatory velocity for input into a non-linear estimator, while the existing approach used a stationary hovering drone and its tilt for input to an estimator. A simulation environment was set up in Simulink and Matlab and validated using outputs from previous researchers performing similar tasks. The first test exposed the two approaches to wind tunnel-like environment with a strictly horizontal wind, while the second test used real wind data collected on-board a meteorological research vessel. Results showed that the original approachperformed better for estimating both direction and speed, but it required a largearea to drift in during operation.<br>En egen teknik för att mäta vindhastighet och vindrikting med en drönare föreslogs och jämfördes med en befintlig teknik. Det egna sättet tillät drönaren att driva med vinden och använde dess egna hastighet för att estimera vinden, medan den existerande tekniken höll drönarens position konstant och estimerade vinden med hjälp av farkostens lutning. En simuleringsmiljö inrättades i Simulink och Matlab som validerades medhjälp av resultat från tidigare liknande forskning. Det första testet som genomfördes exponerade de två tillvägagångsätten för vindtunnel-liknande förhållanden, medan det andra testet använde verklig vinddata som samlats in ombordett meteorologiskt forskningsfartyg. Resultaten visade att den egna teknikenproducerade noggrannare upskattningar av både vindhastighet och riktning,men krävde betydligt större fritt flygrum.
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Zilverberg, Cody John. "Agriculture, technology, and conflict." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-1223.
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Fall, Abdou Lahat. "Assistive Drone Technology: Using Drones to Enhance Building Access for the Physically Disabled." University of Cincinnati / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1522399761180306.
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Donkoh, Samuel Arkoh. "Technology adoption and efficiency in Ghanaian agriculture." Thesis, University of Reading, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.445744.
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The study seeks to find out the socio-economic factors that explain the adoption of Green Revolution technology and its effects on output/efficiency and consumption expenditure among agricultural households in Ghana. The method of analysis involves probit estimation of the adoption model, a stochastic frontier estimation of the inefficiency model and a maximum likelihood estimation of a consumption equation. The consumption model was estimated within the frame work of Heckman's two stage method of correcting for sample selection. The proportion of GR input adoption was found to be greater for the following: households whose heads have formal education, households with higher levels of non-farm income, credit and labour supply as well as those living in urban centres. Efficiency is greater for the following: households whose heads had no education, households living close to extension centres, in the rural areas and in the south of the country. Efficiency is also greater for male-headed households, large households and small farms. In addition to education and credit, we found households' assets, living in the forest belt and in the south of the country to be positively related to households' consumption. Unsurprisingly, household size was found to be negatively related to consumption. Technology adoption was found to have positive effects on households' output and consumption expenditure. It is recommended that technology adoption be taken seriously by increasing the levels of complementary inputs like credit, extension services and infrastructure. Also, households must be encouraged to plan their families while they form farmer groups as an important source of farm labour. Above all, the fundamental problems of illiteracy, inequality and lack of effective markets must be addressed through increasing the levels of formal and non-formal education, equitable distribution of the 'national cake' and a more effective management of the ongoing Structural Adjustment Programme.
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Nieto, Rubén D. "The dairy technology systen in Venezuela /." The Ohio State University, 1993. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487846885776457.
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Castillo, Armando Gustavo Medina. "The public agricultural technology system in Ohio /." The Ohio State University, 1994. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487857546387964.
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Rahmani, Hoda. "Traveling Salesman Problem with Single Truck and Multiple Drones for Delivery Purposes." Ohio University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1563894245160348.
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Kingdon, Lorraine. "Space Age Technology Down on the Farm." College of Agriculture, University of Arizona (Tucson, AZ), 1986. http://hdl.handle.net/10150/295504.
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Onochie, Cyprian Ogonna. "Development and stabilization of an unmanned vertical takeoff and landing technology demonstrator platform." Thesis, Cape Peninsula University of Technology, 2017. http://hdl.handle.net/20.500.11838/2529.
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Thesis (MTech (Mechanical Engineering))--Cape Peninsula University of Technology, 2017.<br>Small and micro unmanned aerial vehicles (UAV) are rapidly becoming viable platforms for surveillance, aerial photography, firefighting and even package delivery. While these UAVs that are of the rotorcraft type require little to no extra infrastructure for their deployment, they are typically saddled with short ranges and endurance, thus placing a restriction on their usage. On the other hand, UAVs that are of fixed wing type generally have longer range and endurance but often require a runway for take-off and landing which places a restriction on their usage.
This project focuses on the development of a vertical take-off and landing (VTOL) UAV demonstrator suitable for integration on a small or mini flying wing UAV (a fixed wing UAV) to counteract the take-off and landing limitations of fixed wing type UAVs.
This thesis first presents a propulsion characterisation experiment designed to determine the thrust and moment properties of a select set of propulsion system components. The results of the characterisation experiment identified that the propulsion set of a Turnigy C6374 – 200 brushless out runner electric motor driving a 22 x 10 inch three bladed propeller will provide approximately 79N (8kg) of thrust at 80% throttle (4250rpm). Therefore, two of these propulsion set would satisfy the platform requirement of 12kg maximum take-off mass (MTOM).
The result of the abovementioned experiment, together with the VTOL platform requirements were then used as considerations for the selection of the suitable VTOL method and consequently the design of the propulsion configuration. Following a comparison of VTOL methods, the tilt-rotor is identified as the most suitable VTOL method and a variable speed twin prop concept as the optimal propulsion configuration.
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Norton, Juliet Nicole Pumphrey. "Information Systems for Grassroots Sustainable Agriculture." Thesis, University of California, Irvine, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=13808140.
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<p> Scientists widely accept that modern agriculture is unsustainable, but the best methods for addressing unsustainability are still contested (Constance, Konefal, and Hatanaka 2018). Grassroots sustainable agriculture communities have long participated in the exploration of solutions for agriculture unsustainability, and their momentum continues to grow in the technical age. Practitioners of grassroots sustainable agriculture use many information systems that were not originally built to support the design of agricultural systems. Based on ethnographic research with two grassroots sustainable agriculture communities, I show that participants’ personal and community values frequently clashed with those embedded in information systems, including ones used to look for and manage plant information. Furthermore, I demonstrate a range of information challenges that participants faced in the absence of tools designed to support their specific work. I argue that practitioners of grassroots sustainable agriculture need information systems tailored to their goals and values in order to productively address barriers to designing and building agroecosystems for their communities. </p><p> This dissertation provides an example of how to involve communities in the development of information technology artifacts and strengthen efforts to support sustainability via technological interventions. First, I engaged in two grassroots sustainable agriculture communities as a participant, experiencing their practices, values, and information challenges first hand. Then, I worked with the communities to create a plant database web application (SAGE Plant Database) that supports agroecosystem design in local contexts. Members of the communities participated in the design, development, and data population stages so that the SAGE Plant Database supports their design context and upholds their technological and holistic sustainability values. At the foundation of the database is a plant ontology grounded in the participants’ practice of designing agroecosystems. My comparative analysis of the design of the SAGE Plant Database to other databases demonstrates its relevance due to its emphasis on agroecological relationships among plants and between plants and the environment, the inclusion of ethnobotanical data, and the embedded community values. By engaging in this research, I seek to make progress towards transforming the technology-supported food system into one that furthers food security, food sovereignty, and holistic sustainability.</p><p>
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MacArthur, Robert. "Young Students Get a Taste of Applied Technology." College of Agriculture, University of Arizona (Tucson, AZ), 2003. http://hdl.handle.net/10150/295851.
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Gandonou, Jean-Marc A. "ESSAYS ON PRECISION AGRICULTURE TECHNOLOGY ADOPTION AND RISK MANAGEMENT." UKnowledge, 2005. http://uknowledge.uky.edu/gradschool_diss/227.
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Precision agriculture (PA) can be defined as a set of technologies that have helped propel agriculture into the computerized information-based world, and is designed to help farmers get greater control over the management of farm operations. Because of its potential to spatially reduce yield variability within the field through variable rate application of nutrients it is thought to be a production risk management instrument. Subsurface drip irrigation (SDI) is another production risk management technology that is generating interest from the farming community as a result of new technological improvements that facilitate equipment maintenance and reduces water consumption.In the first article the production risk management potential of these two technologies was investigated both for each technology and for a combination of the two. Simulated yield data for corn, wheat and soybeans were obtained using EPIC, a crop growth simulation model. Mathematical programming techniques were used in a standard E-V framework to reproduce the production environment of a Kentucky commercial grain farmer in Henderson County. Results show that for risk averse farmers, the lowest yield variability was obtained with the SDI technology. The highest profit level was obtained when the two technologies were combined.Investment in two sets of equipments (PA and SDI) to maximize profitability and reduce risk could however expose many farm operations to financial risk. In the second article, a discrete stochastic sequential programming (DSSP) model was used to analyze the impact of PA and/or SDI equipment investment on the farm's liquidity and debt to asset ratio.In the last article, the cotton sector in Benin, West Africa, was utilized to study the transferability of PA technology to a developing country. Properly introduced, precision agriculture (PA) technology could help farmers increase profitability, improve management practices, and reduce soil depletion. An improved production system could also help farmers better cope with the policy risk related to cotton production. Results from the two models show that PA is less profitable for the risk neutral farmer but more profitable for the risk averse one when compared to conventional production practices. The adoption of the new technology also has very little impact on the choice of crop rotation made by the farmer.
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Steel, John A. C. "Social factors constraining the uptake of technology in agriculture." Thesis, University of Newcastle Upon Tyne, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.283095.
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Drape, Tiffany A. "Teaching with Technology in an Agriculture Associate's Degree Program." Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/29112.
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Students in any educational setting need to learn how to integrate and successfully use technology to be successful in a future career. While no one educational system can teach every skill, faculty can help integrate technology and model skills that students will need later in life. Using Rogersâ Diffusion of Innovations as a model, the researcher examined technology integration and how it affected engagement, motivation, and learning in the classroom setting. The purpose of this study was to investigate the phenomenon of technology integration in an agriculture associateâ s degree program and evaluate the program from the faculty and student perspective. Ninety-six students enrolled in an agriculture associateâ s degree program served as the case study group. A qualitative approach guided the inquiry of the study and was represented through observations, participant interviews, and video collection using Noldus Observer.
Findings indicated that technology integration was being implemented in a purposeful way and the faculty work together to make decisions regarding what to integrate for the studentsâ use in their courses. Technology integration decisions were supported by the faculty and program leader. Students viewed the technology as beneficial to their learning while enrolled in the program and as an asset when they graduated. Students reported that they felt as though technology was helping them remain engaged and motivated in the program. Students who participated in the recommend that the faculty use the course management system more efficiently to streamline content to students and the faculty use more features that the system offers such as chat and discussion boards. Students expressed a belief that these practices would help keep students more engaged during class time and help them locate resources more efficiently. It is recommended that faculty work to offer a blended learning experience in the classroom, with group work or guided practice. Finally, as an alternative to traditional assessment, it is recommended that faculty members in the program encourage students to work with technology outside of class to create videos or podcasts to illustrate what they are learning.<br>Ph. D.
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Cossette, Maximillion Kirk. "Precision Agriculture Technology Adoption and Usage in North Dakota." Thesis, North Dakota State University, 2019. https://hdl.handle.net/10365/31554.
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The world population is projected to rise, and there is a growing concern of future food availability. Precision agriculture technologies are one solution to this problem as they aim to produce more food on less land. This study examines the adoption and intensity of precision agriculture technology usage by producers in North Dakota. Data from a North Dakota State University survey was collected and analyzed using an econometric double-hurdle model. Results of the study describe which producers adopt precision agriculture technologies, which technologies complement each other, and what affects the intensity of technology usage. Several technologies were found to have complementary effects on each other, larger farms are more likely to adopt PATs, and crop choices have varying impacts on the adoption and usage of PATs. Most of these findings agree with previous literature, although new light was shed on some new findings and predictions.
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Maldonado, Saul. "Antecedents of technology adoption in agriculture in developing nations." Diss., University of Pretoria, 2021. http://hdl.handle.net/2263/81320.
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Understanding the antecedents determining technology adoption in agriculture is essential to promote technology adoption to improve agricultural productivity in developing nations. The aims of this research were to understand the meaning of technology adoption for people involved in farming activities in developing nations, the antecedents determining technology adoption, their effect and how their interaction influences decision-making with regards to technology implementation in agriculture in developing nations. This study was qualitative in nature and followed an exploratory approach. This allowed the researcher to gain and understand new insights about the antecedents determining technology adoption in agriculture in developing nations. A total of 12 synchronous online semi-structured interviews were conducted with farmers and agriculture technicians from developing nations where the reliance on the agriculture sector is high. These interviews were analysed using thematic content analysis approach which led to the development of ‘The antecedents determining technology adoption in agriculture in developing nations’ Framework. This Framework refuted literature findings which highlighted the existence of four antecedents determining technology adoption in agriculture in these nations. Five predominant antecedents namely: awareness; financial assistance; applicability of technology; training and technical support; and demonstrations were identified in this study. This framework explains that the interaction of the identified antecedents is essential to foster technology adoption among farmers in developing nations and is important for stakeholders since it can provide a better understanding and guidance for the creation of integrated strategies to improve technology adoption in agriculture in developing nations.<br>Mini Dissertation (MBA)--University of Pretoria, 2021.<br>Gordon Institute of Business Science (GIBS)<br>MBA<br>Unrestricted
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ANTONUCCI, GIULIA. "Biostimolanti al crocevia: strumenti e tecniche per la valutazione di prodotti emergenti." Doctoral thesis, Università Cattolica del Sacro Cuore, 2022. http://hdl.handle.net/10280/119450.
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I biostimolanti vegetali (PB) possono rappresentare una misura sostenibile per promuovere la resilienza dei sistemi di coltivazione in condizioni di scarsità idrica. Per questo motivo è urgente verificarne le potenzialità in maniera rigorosa.Il presente lavoro esplora diverse combinazioni di tecniche analitiche basate sugli effetti dei biostimolanti sulle piante: dinamiche nel tempo, suscitano risposte vegetali condivise come il priming della risposta agli stress, migliore crescita di parti aerea e radicale e una migliore tolleranza allo stress. L'investigazione è stata svolta mediante una combinazione di prove in serra e in campo aperto, con le seguenti tecniche high-throughput: acquisizione continua di scambi gassosi, metabolomica e imaging UAV. Inoltre, l'obiettivo di questa tesi è identificare uno strumento statistico pratico per analizzare correttamente i dati high-throughput generati: in questo senso è stato selezionato il generalised additive modeling (GAM). Ciò ha prodotto risultati sull'idoneità dell'acquisizione continua di scambi gassosi e profilazione metabolomica snapshot alla rilevazione degli effetti dei biostimolanti; strategie innovative di analisi statistica (GAM) per valutare gli effetti dinamici dei biostimolanti e il potenziale dei parametri biofisici recuperati da PROSAIL per modellizzare questi effetti. Sebbene i PB si siano dimostrati strumenti preziosi per contrastare gli effetti dello stress idrico attraverso la misurazione continua degli scambi gassosi e la metabolomica in condizioni protette, non è stato possibile trasferire tali risultati in campo aperto tramite l'imaging UAV. Nel complesso, questo studio funge da trampolino di lancio per esplorare le tecniche di valutazione dei biostimolanti.<br>Plant biostimulants (PBs) could represent a sustainable measure to foster the resilience of cropping systems under water-limited conditions. In this framework, there is an urgent need to investigate biostimulant action. This work seeks to explore different combinations of analytical techniques based on biostimulant effects on plants: dynamic in time, they elicit shared plant responses such as stress priming, better shoot and root growth, and improved stress tolerance. This was achieved by a combination of greenhouse and open field trials, featuring the following high-throughput techniques: continuous gas exchange acquisition, metabolomics and UAV imaging. Moreover, this thesis objective was to identify a viable statistical tool to properly analyse the generated high-throughput data: generalised additive modelling (GAM) was selected to achieve this. This resulted in insights on the fitness of continuous gas exchange acquisition and snapshot metabolomic profiling for detecting biostimulants effects in a crop at advanced phenological stages; innovative statistical analyses strategies (GAM) to evaluate dynamic biostimulant effects and the potential of PROSAIL retrieved biophysical parameters to model these effects. While PBs were demonstrated to be valuable tools in counteracting the effects of water stress through continuous gas exchange measurement and metabolomics in greenhouse conditions, it was not possible to transfer such findings to the open field via UAV imaging. Overall, this study serves as a stepping stone to explore biostimulant evaluation techniques.
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Everett-Haynes, La Monica. "Doctor Students Using Advanced Technology to Study Forests." College of Agriculture and Life Sciences, University of Arizona (Tucson, AZ), 2010. http://hdl.handle.net/10150/622077.
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Blake, Cary. "Auto-guidance Technology Tested in Mechanically-cultivated Cotton." College of Agriculture and Life Sciences, University of Arizona (Tucson, AZ), 2008. http://hdl.handle.net/10150/622085.
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Whitehead, Hannah R. "Varroa mite management among small-scale beekeepers: Characterizing factors that affect IPM adoption, and exploring drone brood removal as an IPM tool." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1481534982440449.
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Catagay, Daniel, and Haoqian Yuan. "Lifting body design and CFD analysis of a novellong range pentacopter, the TILT LR drone." Thesis, KTH, Mekanik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-203952.
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In the thesis, a lifting body has been designed aiming to generate lift force for the pentacopter,called TILT LR (Long Range), at higher velocities during flights to improve the aerodynamicperformances. The configuration, which is used as the skeleton of the long range drone for upto 75 kilometers flights, is based upon a tilting system allowing the rotors to rotate around theirown axis in both pitch and roll angles. This offers the possibility to the TILT LR flying withoutany vertical excess thrust at a proper angle of attack and velocity. This new drone can be directlyapplied to missions require long flight time or cover long distance, such as Search & Rescue(SAR), power lines and off-shore structures inspection, fire monitoring or surveillance.Several main CAD models have been created during the process of design and presented in thereport together with the final design. For each model in the process, CFD simulations have beenapplied to observe the behaviors of the flows around the surfaces of the body during steadyflights, followed by a brief analysis for further modification. A series of simulations withvarying velocities and angle of attack have been performed for the final design, analyzing itsperformances under different air conditions. Flight envelope of the design has been presentedalso, together with some ideas of possible further studies on the pentacopter.
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Andrade-Sanchez, Pedro, and John T. Heun. "Understanding Technical Terms and Acronyms Used in Precision Agriculture." College of Agriculture and Life Sciences, University of Arizona (Tucson, AZ), 2010. http://hdl.handle.net/10150/146427.
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5 pp.<br>In this publication we make a recount of basic terms and acronyms used in describing the functionality and capabilities of precision agriculture technologies. Growers seeking to acquire new systems or upgrade their existing equipment need to be fluent in terminology used in communications, hardware, software, and other areas in order to make good decisions at the time of buying equipment. This information is also useful to educate equipment operators in the in-and-outs of this technology and this way be able to maximize the use of these expensive upgrades.
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Rellaford, Matthew John. "Predicting and Enhancing Spring Wheat Grain Protein Content through Sensing and In-Season Nitrogen Fertilization." Thesis, North Dakota State University, 2018. https://hdl.handle.net/10365/28733.
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Grain protein content is an essential component to producing a profitable Hard Red Spring Wheat (HRSW) (Triticum aestivum L.) crop in the northern Great Plains. Growers can increase grain protein content through in-season N fertilization; however, the cost of these applications may outweigh the benefits. Predicting the grain protein content of early-season HRSW would give growers crucial information as they decide whether to apply in-season fertilizer to boost grain protein content. This research encompasses three studies; two of which aim to predict grain protein content with hand-held and aerial sensors respectively, and a third, which investigates the optimal rate, timing, and source of N fertilizer to boost grain protein content. Results of these experiments seemed to be greatly influenced by environmental factors. Findings of this research suggest that an in-season N application should be used for ameliorative purposes and not as a regular practice.<br>Minnesota Research and Promotion Council<br>Minnesota Association of Wheat Growers
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Andersson, Emil, and Anders Bogga. "Hexacopter with gripping module." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-36982.
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The 2018 CPS-VO challenge is a competition focusing on the development of a drone which has the ability to search a area for a lost drone and recover it to a specific destination, all this is to be done autonomous. To participate in the challenge three thesis projects was done by three different teams. Those three projects combined created an autonomous hexacopter to compete with in the challenge. The thesis focuses on the development of a hexacopter with a gripping module which is to be used in the challenge. There are two main goals with the thesis. The first goal was to create a computer model of a hexacopter with a gripping module to be used in a simulation software called Gazebo. The simulation is controlled via Robot Operating System and is used as a basis for hardware development. The second goal was to use the results from the simulation to build a real hexacopter with a gripping module which can be used in the challenge. The hexacopter construction was based on own designs and all fabrication of parts for the gripping module was done using SolidWorks and 3D printers. The result became a hexacopter with a high thrust and a gripping module which can grab and hold on to recovered objects. The hexacopter was used during 2018 CPS-VO Challenge which was taking place in Arizona in May 2018.
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Hanefors, Victor, and Shaya Rahmanian. "Sharkbait - A self-stabilising underwater drone : Evalution of response time, propulsion and steering in a underwater environment." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264442.
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This projects purpose was to build an underwater remote operated vehicle with software controlled self-stabilisation for evaluation of the response time, propulsion and steering to see what could be achieved. A prototype was constructed and tested in dry conditions at first. The prototype features an Arduino and a Raspberry Pi as control units, controlling six thrusters. With the help of a controller the user can manoeuvre the vehicle and when exposed to unexpected forces sensors detect this allowing the software to counteract it. Due to risk of massive electrical failure as a result of failed waterproofing tests underwater were postponed until the end. Unfortunately this made full optimisation of the software difficult. The results in a dry enviroment were positive, the system was able to fully perform the desired outputs at the thrusters, the PID controller kicked in when it detected a disturbance in its position. Testing the propulsion system in the water gave positive results as well, the propeller held and the motor kept working while submerged. The response time performed adequately at an average of 50ms.<br>Detta projektets syfte var att bygga en fjärrstyrd undervattensdrönare med mjukvarustyrd själstabilisering för utvärdering av responstid, framdrivningen, och styrningen för att se vad som går att uppnå. En prototyp byggdes och testades först i torra förhållanden. Prototypen har kontrolleras med en Arduino och en Raspberry Pi, som styr sex drivmotorer. Genom en kontroller kan användare styra farkosten och om den utsätts för oväntade krafter kan mjukvaran motverka dom. På grund av risken för massivt elhaveri om vattentätningen inte är tillräcklig sköts tester i vatten upp. Tyvärr gjorde detta att fullständig optimering av mjukvaran blev svår. Resultaten i torr miljö var positiv, systemet utförde sin önskade funktion vid motorerna, och PID kontrollern försökte ställa om positionen till rätta när den märkte av en felaktig position. Propulsion systemet testades i vatten och gav positiva resultat också, propellern höll och motorn fortsatte fungera fastän sänkt i vatten. Responstiden gav ett adekvat utfall på ungefär 50 ms.
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Kandeh, Stephen. "Factors that determine the criteria farmers use when making decisions about precision farming technology /." The Ohio State University, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=osu1486399160108063.
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McClure, Erin Kathleen. "An evolving-requirements technology assessment process for advanced propulsion concepts." Diss., Available online, Georgia Institute of Technology, 2006, 2006. http://etd.gatech.edu/theses/available/etd-07062006-101749/.
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Thesis (Ph. D.)--Aerospace Engineering, Georgia Institute of Technology, 2007.<br>Danielle Soban, Committee Member ; Dimitri Mavris, Committee Chair ; Alan Porter, Committee Member ; Gary Seng, Committee Member ; Daniel Schrage, Committee Member.
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Tucker, Andrew Neil. "Nitrogen management of corn with sensor technology." Diss., Kansas State University, 2010. http://hdl.handle.net/2097/4608.
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Doctor of Philosophy<br>Department of Agronomy<br>David B. Mengel<br>Corn (Zea mays) is an important cereal crop in Kansas primarily used as livestock feed for cattle in the feedlots, and there has been increased use of corn for ethanol production as well. According to the USDA National Agriculture Statistics approximately 1.7 million hectares of corn is planted each year in Kansas, with an average yield ranging from 5,750-7,750 kg ha[superscript]-1 within the last five years (2005-2009). With this variability in yield and volatility of crop and fertilizer prices over that same period, it seems logical that optimum nitrogen or N rates may vary.
A series of 14 field experiments were conducted across Kansas from 2006 through 2009 to address this issue. Specific experiments included: evaluating optimum N rates from side-dressing nitrogen fertilizer; timing of nitrogen application, pre-plant vs. split applications and normal side-dress V-6-V-9 vs. late side-dress V-14-V-16; N response of corn to a late side-dress of nitrogen fertilizer; and the evaluation of optical sensors for making in season N recommendations.
The specific objectives of this research were to:
a.
Determine the optimum N application rate and timing to optimize corn grain yields in different corn producing regions in Kansas.
b.
Confirm or revise the current K-State soil test based N recommendation system for corn.
c.
Evaluate N management strategies using the GreenSeeker, Crop Circle, and SPAD meter, crop sensors.
d.
Develop draft GreenSeeker, Crop Circle, and SPAD sensor algorithms for producers to use.
Grain corn yields were responsive to N at all but 3 sites. Grain yields obtained at the sites ranged from 3,460 to 15,480 kg ha[superscript]-1. Optimum N rates varied from 0 to 246 kg N ha[superscript]-1. This work suggests that current K-State N fertilizer recommendations for corn need revisions due to over recommendation of N. Including different coefficients for irrigated and dry land corn along with N recovery terms would create a more accurate N recommendation system that more closely reflects the results obtained in these experiments, and provide a significant improvement over the current system. The optical sensors used in this study were effective at making N recommendations for corn. These sensors can be a valuable tool for producers to use and determine in season N status of corn.
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McCarthy, Peter J. "Anaerobic toxicity of resin acids in chemithermomechanical pulp wastewater." Thesis, University of Ottawa (Canada), 1990. http://hdl.handle.net/10393/5904.
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In this study anaerobic toxicity assays were used to quantify the relative toxicity of resin acids to the total toxicity in bleached chemithermomechanical wastewater. Fiber toxicity was also compared to raw bleached chemithermomechanical wastewater toxicity. Resin acids were found to be toxic to anaerobic bacteria but were not found to be responsible for all the toxicity in the wastewater. Toxicity associated with the fiber is soluble in methanol. The bulk of the fiber which is not methanol soluble exhibits no toxicity. Transfer of information obtained from batch modified anaerobic toxicity assays to continuous anaerobic treatment systems was also evaluated. Modified anaerobic toxicity assay data was compared to continuous toxicity assays using an upflow anaerobic sludge bed reactor. The continuous reactor was relatively unaffected by acute or chronic exposure to resin acids at concentrations that invoked inhibition in bath tests. Inferences from these tests indicated that batch modified anaerobic toxicity assay results may be unreliable when applied to continuous systems. (Abstract shortened by UMI.)
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Eberhardt, Markus. "Modelling technology in agriculture and manufacturing using cross-country panel data." Thesis, University of Oxford, 2009. http://ora.ox.ac.uk/objects/uuid:d60f62f5-43e2-4473-b899-f4358d758e1e.
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Why do we observe such dramatic differences in labour productivity across countries in the macro data? This thesis argues that the growth empirics literature oversimplifies the complexity of the production process across countries and neglects data cross-section and time-series properties, leading to bias in the empirical estimates. Chapter 1 presents two general empirical frameworks for cross-country productivity analysis and demonstrates that they encompass the growth empirics literature of the past decades. We introduce our central argument of cross-country heterogeneity in the impact of observables and unobservables on output and develop this against the background of the pertinent time-series and cross-section properties of macro panel data. Chapter 2 uses data from 48 countries to estimate manufacturing production functions. We discuss standard and novel estimators, focusing on their treatment of parameter heterogeneity and data time-series and cross-section properties. We develop the Augmented Mean Group (AMG) estimator and show its similarity to the Pesaran (2006) Common Correlated Effects (CCE) approach. Our results confirm parameter heterogeneity across countries in the impact of observable inputs on output. We check the robustness of this finding and highlight its implications for empirical measures of TFP. Chapter 3 investigates the heterogeneity of agricultural production technology using data for 128 countries. We develop an extension to the CCE estimators which allows us to suggest that TFP is structured such that countries with similar agro-climatic environment are influenced by the same unobserved factors. This finding offers a possible explanation for the failure of technology-transfer from advanced countries of the temperate 'North' to developing countries of the arid/equatorial 'South'. Our Monte Carlo simulations in Chapter 4 investigate the performance of the AMG, CCE and standard (micro-)panel estimators. Failure to account for cross-section dependence is shown to result in serious distortion of the empirical estimates. We highlight scenarios in which the AMG is biased and offer simple remedies.
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Flaherty, Daniel K. "Assessing barriers to the implementation of GIS technology in precision agriculture /." Available to subscribers only, 2008. http://proquest.umi.com/pqdweb?did=1559852621&sid=16&Fmt=2&clientId=1509&RQT=309&VName=PQD.
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Tanabe, Shigeharu. "Ecology and practical technology : peasant farming systems in Thailand /." Bangkok ; Cheney (Wash.) : White Lotus, 1994. http://catalogue.bnf.fr/ark:/12148/cb375495597.
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Louargant, Marine. "Proxidétection des adventices par imagerie aérienne : vers un service de gestion par drone." Thesis, Dijon, 2016. http://www.theses.fr/2016DIJOS029/document.
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Le contexte agricole actuel vise à réduire l’utilisation des produits phytosanitaires sur les parcelles. Dans ce cadre, la gestion des adventices consommant de grandes quantités d’herbicides est devenue une problématique majeure. Afin de mettre en place un outil de gestion localisée des adventices par drone, cette thèse étudie l’adaptation du système d’acquisition (drone + dispositif multispectral) actuellement proposé par AIRINOV à la détection des adventices sur des cultures sarclées. La chaîne d’acquisition a été modélisée afin d’évaluer l’impact de différents paramètres du modèle (filtres optiques et résolution spatiale) sur la qualité de la détection des adventices. Des orthophotographies et images ortho-rectifiées ont été acquises à l’aide d’un capteur multispectral (4 et 8 filtres) à des résolutions spatiales de 6 mm et 6 cm. Plusieurs méthodes de localisation des adventices adaptées à l’étude de ces images ont été développées. Elles reposent sur 1) l’analyse de la distribution spatiale de la végétation (détection de rang par la transformée de Hough et analyse de forme), 2) la classification spectrale des pixels (méthodes supervisées : LDA, QDA, distance de Mahalanobis, SVM). Enfin, une classification spectrale basée sur un apprentissage issu des informations spatiales été proposée, améliorant ainsi la détection des adventices.Des cartes d’infestation des parcelles et de préconisation en pulvérisation localisée ont alors été créées<br>The agricultural framework aims to reduce pesticide use on fields. Weed management, which is highly herbicide consuming, became a great issue. In order to develop a weed management service using UAV, this PhD dissertation studies how to adapt the acquisition system (UAV + multispectral camera) developed by AIRINOV to detect weeds in row crops. The acquisition chain was modeled to assess some of its parameters (optical filters and spatial resolution) impact on weed detection quality. Orthoimages and orthorectified images were created using a multispectral camera (4 to 8 filters) with 6 mm to 6 cm spatial resolutions. Several weed location methods were specifically developed to study multispectral images acquired by UAV. They are based on 1) the analysis of vegetation spatial distribution (row detection using the Hough transform and shape analysis), 2) spectral classification of pixels (supervised methods: LDA, QDA, Mahalanobis distance, SVM). In order to improve weed detection, a spectral classification based on training data deduced from spatial analysis was then proposed.Weed infestation maps and recommendation for spot spraying applications were then produced
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Konar, Swapan Kanti. "Agricultural responses of land reforms and new technology: a village-level study in Jalpaiguri District of West Bengal." Thesis, University of North Bengal, 2002. http://hdl.handle.net/123456789/329.
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Maingi, John Kaunda 1964. "Specific gravity and estimated physical properties of Emory oak in southeastern Arizona." Thesis, The University of Arizona, 1992. http://hdl.handle.net/10150/278168.
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Average specific gravity of Emory oak (Quercus emoryi) estimated from 115 increment cores was 0.567 ± 0.011 (95 percent confidence interval). Increment core specific gravity is a predictor of average tree specific gravity. Diameter breast height (dbh) and diameter root collar (drc) were correlated with increment core specific gravity, but the correlations were too low to be valuable for predictive purposes. Estimated physical properties of Emory oak wood were lower than those reported for Gambel oak (Quercus gambelii) but higher than those reported for alligator juniper (Juniperus deppeana).
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Littlefield, Joanne. "Cleaner Air in the Desert: New Technology Measures Dust Emissions in Agricultural Settings." College of Agriculture and Life Sciences, University of Arizona (Tucson, AZ), 2003. http://hdl.handle.net/10150/622231.
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Sotak, Michael Alan II. "ALLY OR ANTAGONIST? BANKING AND ANTEBELLUM AMERICAN AGRICULTURE." Miami University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=miami1406910957.
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Brunt, Liam. "New technology and labour productivity in English and French agriculture 1700-1850." Thesis, University of Oxford, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.324812.
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Crosswhite, F. S., and C. D. Crosswhite. "Editorial - The Moral Element in the March of Science, Technology and Agriculture." University of Arizona (Tucson, AZ), 1988. http://hdl.handle.net/10150/609105.
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Jeoun, Kristina S. "The tactical network operations communication coordinator in mobile UAV networks." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Jun%5FJeoun.pdf.
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McGinley, Susan. "A Water-Conserving Garden for `Aqaba: Arid Lands Technology Transfer Involves Arizona and Jordan." College of Agriculture and Life Sciences, University of Arizona (Tucson, AZ), 2005. http://hdl.handle.net/10150/622197.
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McGinley, Susan. "Biosensors Measure Airborne Particulates: A New Technology for Studying Cellular Stress From Air Pollution." College of Agriculture and Life Sciences, University of Arizona (Tucson, AZ), 2002. http://hdl.handle.net/10150/622249.
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Msuya, Kassim Jumanne. "Applicability of drip irrigation for smallholder farmers: A case study of the horticultural industry in Tanzania." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1469152691.
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Jorns, Austin R. "Smallholder farmers’ perceptions toward solar renewable energy technology on the island of Trinidad." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1587714750296474.
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Schmidt, Darren John. "Introducing crop simulation technology using soft systems methodology : some issues in agricultural communication." Thesis, Queensland University of Technology, 1994. https://eprints.qut.edu.au/36401/1/36401_Schmidt_1994.pdf.
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Information technology (IT) is emerging as a critical factor in the development of Australian agriculture. The capacity for IT to complement traditional extension
efforts is considerable, given its ability to be effective over distance as well as its ability to store and process vast amounts of information. In addition, IT can be used to 'quantify' risk, or provide a numerical assessment of the chances of a particular crop's success in a particular agronomic and climatic environment. This
function of IT can be seen as useful for primary producers who might wish to experiment with crops and cropping practices with which they have been
previously unfamiliar. Using IT, farmers might be able to hypothetically test the chances of an unfamiliar crop's success on their farm without a significant
physical or capital investment. A real-world example of this scenario currently exists in Queensland whereby farmers in various parts of the state are being
encouraged by Queensland's Department of Primary Industries (DPI) and PMB Australia (a peanut marketing company) to grow peanuts, which have traditionally been grown in the South Burnett and around the Atherton
Tablelands. This thesis reports on a project sponsored by the DPI and PMB Australia designed to explore the possibilities of using IT as a tool to help farmers make
decisions about growing peanuts. The problem has been framed as a communication issue, however it is argued throughout this thesis that the entire knowledge system, incorporating farmers, scientists, IT, knowledge, and
information, needs to be considered from a meta-theoretical standpoint using a multi-disciplinary framework. From this perspective, the thesis reports that
understanding the relationship shared by scientists and farmers is central to the problem of designing IT to meet users' needs. This relationship is shaped by a confluence of factors, and a number of these are identified and critically analysed in this thesis.
This thesis develops the idea that introducing IT to an existing knowledge system is not merely a matter of asking farmers what they need and designing IT accordingly. Rather, the introduction of IT is treated as a sociological phenomenon, and the bulk of this thesis is devoted to investigating the cultural, political, economic, historical, and technological systems in which the major stakeholders engage. This investigation is undertaken using an interpretivist perspective, and the methodology used to collect data - Soft Systems
Methodology (SSM) - also reflects this approach. As such, rich, diverse, qualitatively based observations are used as the basis for recommendations on policy and practice. This thesis generates a number of suggestions for action as well as some theoretical ideas about the relationship shared by scientists and farmers.
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Årevall, Agnieszka Janicka. "Urban Agriculture : Sustainability Multiplier." Thesis, Blekinge Tekniska Högskola, Sektionen för planering och mediedesign, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2043.
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For some years now, the phenomena of urban agriculture have been present in the public discourse on cities and sustainability. It is often assumed that urban agriculture has the potential to contribute to an increased sustainability of the cities. However, many practical and theoretical obstacles might have to be overcome in order to realize this potential. One ambition of this thesis is to analyse urban agriculture as a “sustainability multiplier” – that is, as a practice that can positively affect a large number of dimensions of sustainability. Another ambition is to study how urban agriculture can contribute to lower the “ecological footprint” of our cities. Two concepts are essential in the discussion and have been given special attention in the thesis: “ecological footprint” and “sustainability”.
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Lousada, Miguel Amorim Aroso. "Tethered drone for precision agriculture." Master's thesis, 2021. https://hdl.handle.net/10216/138002.
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