Gotowa bibliografia na temat „Precision agriculture”

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Artykuły w czasopismach na temat "Precision agriculture"

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Kalbhor, Atharva. "AI and Machine Learning in Precision Agriculture: The Future of Agricultural Precision Agriculture." International Journal for Research in Applied Science and Engineering Technology 13, no. 2 (2025): 648–54. https://doi.org/10.22214/ijraset.2025.66920.

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Agriculture is rapidly transforming with the integration of technologies such as machine learning (ML) and artificial intelligence (AI) to solve critical issues such as food security, climate change, and sustainable agriculture. Precision agriculture uses these technologies to increase yields, improve resource utilization, and reduce environmental impact. Machine learning techniques, particularly deep learning models such as convolutional neural networks (CNNs), have been successful in studying plant diseases, enabling early detection and reduction of crop losses. AI models improve decision-ma
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Nordin, Muhammad Aqil Hafizzan, Nur Syahirah Mohd Sabli, Mohd Faizal Jamlos, et al. "A Review of the Historical and Prospective Applications of Predictive Analytics in Precision Agriculture." Journal of Advanced Research in Applied Sciences and Engineering Technology 56, no. 3 (2024): 109–17. https://doi.org/10.37934/araset.56.3.109117.

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Precision agriculture (PA) has gained popularity because it can solve the agricultural industry's problems while reducing its environmental impact. This paper examines precision agriculture's predictive analytics history and possible applications. The report underlines the rising global demand for food and the need for sustainable agriculture. The restrictions and environmental concerns of conventional agriculture have driven precision agriculture adoption. This study analyses the development of precision agricultural technologies from wireless sensor networks (WSN) to the Internet of Things.
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Branzova, Petia. "PRECISION AGRICULTURE: TECHNOLOGICAL INNOVATIONS FOR SUSTAINABLE AGRICULTURE." Economic Thought journal 69, no. 1 (2024): 24–36. http://dx.doi.org/10.56497/etj2469102.

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Precision agriculture represents an innovative approach utilizing technologies and scientific methods to enhance the efficiency and sustainability of agricultural oper-ations and their application in modern agriculture. Various technological innovations are analyzed, including the use of sensors, GPS systems, remote sensing, and software solutions that aid in optimizing agricultural operations. The article discusses the chal-lenges of implementing precision agriculture, as well as future development opportuni-ties in the sector and the potential benefits for farmers, rural communities, and the
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Bujdos, Ágnes. "Precision Agriculture." Hungarian Yearbook of International Law and European Law 6, no. 1 (2018): 371–88. http://dx.doi.org/10.5553/hyiel/266627012018006001022.

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Goss, Michael J. "Precision agriculture." Field Crops Research 55, no. 3 (1998): 285–87. http://dx.doi.org/10.1016/s0378-4290(97)00082-8.

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Šilha, J., P. Hamouz, V. Táborský, et al. "Case studies for precision agriculture." Plant Protection Science 38, SI 2 - 6th Conf EFPP 2002 (2017): 704–10. http://dx.doi.org/10.17221/10595-pps.

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The results of spatial variability of plant-available soil nutrients (P, K, Mg) and soil pH are described in this paper. Experiment was realized on the field of area 72 ha (orthic luvisol), located in the area of Český Brod. The use of coefficient of variation as a criterion of variability of soil agrochemical properties and yield on the field showed the following: the highest variability was observed in available P, the second highest variability was in available K, and the lowest variability of main non-mobile nutrients was in the available Mg. Soil pH was the lowest of all measured soil pro
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Loveleen, L., and S. Pillai. "Precision Agriculture Innovation in Agriculture." CARDIOMETRY, no. 25 (February 14, 2023): 678–84. http://dx.doi.org/10.18137/cardiometry.2022.25.678684.

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Precision farming refers to the latest trends in agriculture that use technology to improve quality, quantity, and productivity, thereby ensuring profitability, sustainability, betterment, and preservation of the environment. The paper discusses the development and needs for precision agriculture in India with its existing problems and opportunities. The challenges in the future cannot be resolved with ancient methods. In order to make agriculture efficient and sustainable, investment in new technologies accompanied by research and development is required. Agronomics is the highest contributor
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Dr. V. B. Kirubanand, Dr Rohini v,. "Environment based Precision Agriculture." Psychology and Education Journal 58, no. 2 (2021): 6157–64. http://dx.doi.org/10.17762/pae.v58i2.3133.

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Agriculture, farming or animal husbandry is a vital occupation, since the history of mankind. The name agriculture represents all entities that came under the linear sequence of links of food chain for human beings. India is in an agricultural era, which is earning fame to it. In the fast moving world, agriculture should also run in the same pace along with the existing nature. This paper analyses the different methodologies for environment friendly precision agriculture. It also comparesthevariousmethodsavailablefortheusageofmoderntoolsandtechniquesinagriculture in the digital world. It discu
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Rimpika, Anushi, S. Manasa, et al. "An Overview of Precision Farming." International Journal of Environment and Climate Change 13, no. 12 (2023): 441–56. http://dx.doi.org/10.9734/ijecc/2023/v13i123701.

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With respect to conventional farming precision agriculture increases average yields by limiting the wastage by calculating the exact required quantities of inputs. One major issue in India is the relatively small and scattered landholdings. In India 58% of the cultivable land is less than 1ha under single owner. The agricultural production system is the result of a complex interplay between seed, soil, water, and agrochemicals (including fertilizers). As a result, judicious control of all inputs is critical for the long-term viability of such a complex system. Precision agriculture is the use
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McClure, Julie. "Deconstructing Precision Agriculture." CSA News 60, no. 4 (2015): 26. http://dx.doi.org/10.2134/csa2015-60-4-15.

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Rozprawy doktorskie na temat "Precision agriculture"

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Window, Marc. "Security in Precision Agriculture : Vulnerabilities and risks of agricultural systems." Thesis, Luleå tekniska universitet, Datavetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-74309.

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BOTTA, ANDREA. "Agri.Q - Sustainable Rover for Precision Agriculture." Doctoral thesis, Politecnico di Torino, 2022. http://hdl.handle.net/11583/2963950.

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Diaz, John Faber Archila. "Design of a Rover to precision agriculture applications." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/18/18149/tde-21112017-160424/.

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The population growth associated with natural resources shortage, food demand increasing and the lack of manpower for agricultural activities generate important challenges to agriculture and engineering. The challenges imply the improvement of productivity with fewer resources, This scenario is consisted parameters that generally are in opposite directions. This work presents the development of a rover to agriculture (R2A) to support agriculturescouting tasks, the tasks will be in the future important tools to improve the productivity and enable the use of less agricultural supplies. The resea
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Lundblad, Lowe, and Anna-Liisa Rissanen. "Precision Agriculture and Access to Agri-Finance : How precision technology can make farmers better applicants." Thesis, Umeå universitet, Företagsekonomi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-149677.

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The World Bank has estimated that an additional $80 billion in financing are needed annually to achieve the 70 % increase in food supply required to feed the world in 2050. One of the cornerstones in achieving this increase in production is expected to be improved agricultural technology, where one of the latest additions is precision agriculture. It is believed that the money for investing in this technology must come from the private sector, but financial institutions are hesitant in lending money to farmers. This, in part, comes down to a high perceived riskiness in agricultural lending ste
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Uludag, Tuba. "LoRaWAN IoT Networks for Precision Agriculture Applications." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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Precision Agriculture (PA) is an emerging technology which enables efficient irrigation by employing the Internet of Things (IoT). We split the thesis in two parts. The first part is estimation of humidity level via experimentation. We focus on measuring Received Signal Strength Indicator (RSSI) to obtain humidity level of the field. Thus, we aim at eliminating the humidity sensors which are very expensive and estimate soil moisture through the variation of RSSI values measured by wireless devices buried underground. In the second part of the thesis, we aim at building an accurate and reliabl
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Shockley, Jordan Murphy. "WHOLE FARM MODELING OF PRECISION AGRICULTURE TECHNOLOGIES." UKnowledge, 2010. http://uknowledge.uky.edu/gradschool_diss/105.

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This dissertation investigated farm management concerns faced by grain producers due to the acquisition of various precision agriculture technologies. The technologies evaluated in the three manuscripts included 1) auto-steer navigation, 2) automatic section control, and 3) autonomous machinery. Each manuscript utilized a multifaceted economic model in a whole-farm decision-making framework to determine the impact of precision agriculture technology on machinery management, production management, and risk management. This approach allowed for a thorough investigation into various precision agr
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Russell, David C. "DEM creation for application in precision agriculture." Thesis, University of Nottingham, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.366365.

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Faiçal, Bruno Squizato. "The Use of Computational Intelligence for Precision Spraying of Plant Protection Products." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-02032017-155603/.

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Protection management with the aid of plant protection products makes it possible to carry out pest control programs in agricultural environments and make them less hazardous for the cultivation of products on a large scale. However, when these programs are put into effect, only a small proportion of the sprayed products is really deposited on the target area while much of it is carried to neighboring regions. The scientific literature includes studies on the use of mathematical techniques to calculate the physical transformation and movement and provide a deposition estimate of the product. O
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Colaizzi, Paul Dominic. "Ground based remote sensing for irrigation management in precision agriculture." Diss., The University of Arizona, 2001. http://hdl.handle.net/10150/280497.

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The relationship between remotely sensed canopy temperature and soil moisture was studied. The objectives were to relate two remotely sensed canopy temperature-based indices, the Crop Water Stress Index (CWSI) and the Water Deficit Index (WDI), to soil moisture through the water stress coefficient, to estimate soil moisture depletion with the CWSI and the WDI, and to develop a remote sensing system aboard a linear move irrigation system that would provide field images of the WDI at one-meter spatial resolution. Studies were conducted in Maricopa, Arizona during the 1998 and 1999 seasons with c
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Brown, Rachael M. "Economic Optimization and Precision Agriculture: A Carbon Footprint Story." UKnowledge, 2013. http://uknowledge.uky.edu/agecon_etds/11.

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This thesis examines the economic and environmental impacts that precision agriculture technologies (PATs) can have on the carbon footprint of a grain farm. An analysis is offered using two manuscripts. The first examines the impacts of three PATs and compares the findings to a conventional farming method. It was found that all three PATs investigated showed a potential Pareto improvement over conventional farming. The second manuscript expanded the model used previously to in order to develop a process to construct a carbon efficient frontier (CEF). The model employed examined uniform and var
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Książki na temat "Precision agriculture"

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Stafford, J., and A. Werner, eds. Precision Agriculture. Wageningen Academic Publishers, 2003. http://dx.doi.org/10.3920/978-90-8686-514-7.

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Brase, Terry A. Precision agriculture. Thomson Delmar Learning, 2006.

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V, Lake J., Bock Gregory, Goode Jamie, European Environmental Research Organisation, Ciba Foundation, and Symposium on Precision Agriculture (1997 : Wageningen, Netherlands), eds. Precision agriculture. Wiley, 1997.

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Stafford, J. V., ed. Precision Agriculture '05. Wageningen Academic Publishers, 2005. http://dx.doi.org/10.3920/978-90-8686-549-9.

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Stafford, J. V., ed. Precision agriculture ‘07. Wageningen Academic Publishers, 2007. http://dx.doi.org/10.3920/978-90-8686-603-8.

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van Henten, E. J., D. Goense, and C. Lokhorst, eds. Precision agriculture '09. Wageningen Academic Publishers, 2009. http://dx.doi.org/10.3920/978-90-8686-664-9.

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Stafford, John V., ed. Precision agriculture '13. Wageningen Academic Publishers, 2013. http://dx.doi.org/10.3920/978-90-8686-778-3.

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Stafford, John V., ed. Precision agriculture '15. Wageningen Academic Publishers, 2015. http://dx.doi.org/10.3920/978-90-8686-814-8.

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Kent Shannon, D., David E. Clay, and Newell R. Kitchen, eds. Precision Agriculture Basics. American Society of Agronomy and Soil Science Society of America, 2018. http://dx.doi.org/10.2134/precisionagbasics.

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Cammarano, Davide, Frits K. van Evert, and Corné Kempenaar, eds. Precision Agriculture: Modelling. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-15258-0.

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Części książek na temat "Precision agriculture"

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Thorp, Kelly. "Precision Agriculture." In Encyclopedia of Remote Sensing. Springer New York, 2014. http://dx.doi.org/10.1007/978-0-387-36699-9_132.

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Reddy, P. Parvatha. "Precision Agriculture." In Agro-ecological Approaches to Pest Management for Sustainable Agriculture. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4325-3_19.

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Naresh, R., S. Sakthipriya, C. N. S. Vinoth Kumar, and S. Senthilkumar. "Precision Agriculture." In Cybersecurity and Data Science Innovations for Sustainable Development of HEICC. CRC Press, 2024. https://doi.org/10.1201/9781032711300-31.

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Ozguven, Mehmet Metin. "Precision Agriculture." In The Digital Age in Agriculture. CRC Press, 2023. http://dx.doi.org/10.1201/b23229-1.

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Fountas, Spyros, Katerina Aggelopoulou, and Theofanis A. Gemtos. "Precision Agriculture." In Supply Chain Management for Sustainable Food Networks. John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781118937495.ch2.

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Tarabella, Angela, Leonello Trivelli, and Andrea Apicella. "Precision Agriculture." In SpringerBriefs in Food, Health, and Nutrition. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-23811-1_6.

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Ahmad, Latief, Gazi Mohammad Shoaib Shah, and Asim Biswas. "Precision Agriculture." In Fundamentals and Applications of Crop and Climate Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-61459-0_7.

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Gaur, Vimal, Shipra Raheja, Rachna Jain, and Ranjit Singh Sarban Singh. "Precision agriculture." In Optimizing Smart and Sustainable Agriculture for Sustainability. CRC Press, 2025. https://doi.org/10.1201/9781003628392-6.

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Falola, Peace Busola, Joseph Bamidele Awotunde, Abidemi Emmanuel Adeniyi, and Folashade Titilope Ogunajo. "Precision Agriculture." In Blockchain and Digital Twin Applications in Smart Agriculture. Auerbach Publications, 2025. https://doi.org/10.1201/9781003507390-11.

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Bishnoi, Aaskaran, Gurwinder Singh, Ranjit Singh, and Simrat Waila. "Precision Agriculture." In Digital Technologies and Tools for Smart Agriculture. CRC Press, 2025. https://doi.org/10.1201/9781003487005-3.

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Streszczenia konferencji na temat "Precision agriculture"

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Singh, Sujay, Suhasi Sethi, Raghav Sharma, Dikshita Vaibhavi, and Abhishek Tiwari. "Precision Agriculture Monitoring System." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10724188.

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Akter, Tahmina, Tanjim Mahmud, Rishita Chakma, Nippon Datta, Mohammad Shahadat Hossain, and Karl Andersson. "IoT-based Precision Agriculture Monitoring System: Enhancing Agricultural Efficiency." In 2024 Second International Conference on Inventive Computing and Informatics (ICICI). IEEE, 2024. http://dx.doi.org/10.1109/icici62254.2024.00126.

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Alakuş, Dilan Onat, and İbrahim Türkoğlu. "Smart Agriculture, Precision Agriculture, Digital Twins in Agriculture: Similarities and Differences." In 2024 Innovations in Intelligent Systems and Applications Conference (ASYU). IEEE, 2024. https://doi.org/10.1109/asyu62119.2024.10757158.

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Tirumalasetti, Gnana Kartheek, Ajay Kumar Kandula, Abdul Basheer Shaik, Baladithya Yendluri, and Hemantha Kumar Kalluri. "An Empirical Study of Precision Agriculture." In 2024 IEEE Students Conference on Engineering and Systems (SCES). IEEE, 2024. http://dx.doi.org/10.1109/sces61914.2024.10652361.

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Manwatkar, Ashish Bapurao, Rajesh Keshavrao Deshmukh, Aparna Atul Junnarkar, Shubhangi Jagdish Kamble, Pranita Kishor Kachare, and Snehal Prashant Latkar. "Securing Industry 4.0-Based Precision Agriculture." In 2024 IEEE 4th International Conference on ICT in Business Industry & Government (ICTBIG). IEEE, 2024. https://doi.org/10.1109/ictbig64922.2024.10911640.

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Jagtap, Sharad, G. Sudhagar, and Rahul Jadhav. "Sustainable Water Management in Precision Agriculture." In 2025 International Conference on Emerging Smart Computing and Informatics (ESCI). IEEE, 2025. https://doi.org/10.1109/esci63694.2025.10988185.

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Ifty, Rashedul Arefin. "Project AgriSage Tech: Federated Learning-Driven Agricultural Innovations for Precision Agriculture." In 2024 IEEE 12th Region 10 Humanitarian Technology Conference (R10-HTC). IEEE, 2024. https://doi.org/10.1109/r10-htc59322.2024.10778905.

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V, Akhilesh, Boobesh K. S, Danush S. V, and Madhumathi R. "Revolutionizing Agriculture: Empowering Farmers through Drone Training Simulations for Precision Agriculture." In 2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS). IEEE, 2024. http://dx.doi.org/10.1109/icaccs60874.2024.10717278.

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Gaines E. Miles, Daniel R. Ess, R. Mack Strickland, and Mark T. Morgan. "Agricultural Systems Management Technologies for Precision Agriculture." In 2002 Chicago, IL July 28-31, 2002. American Society of Agricultural and Biological Engineers, 2002. http://dx.doi.org/10.13031/2013.10370.

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"5 Precision Agriculture." In CIGR Handbook of Agricultural Engineering Volume VI: Information Technology . American Society of Agricultural and Biological Engineers, 2006. http://dx.doi.org/10.13031/2013.21676.

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Raporty organizacyjne na temat "Precision agriculture"

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DeWitt, Jerald R., William Lotz, George Cummins, and Kenneth T. Pecinovsky. Precision Agriculture Demonstration Project. Iowa State University, Digital Repository, 2002. http://dx.doi.org/10.31274/farmprogressreports-180814-2228.

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Brown, R. J., K. Staenz, H. McNairn, B. Hopp, and R. van Acker. Application of High Resolution Optical Imagery to Precision Agriculture. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1997. http://dx.doi.org/10.4095/218969.

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Research Institute (IFPRI), International Food Policy. Climate-smart agriculture practices based on precision agriculture: the case of maize in western Congo. International Food Policy Research Institute, 2017. http://dx.doi.org/10.2499/9780896292949_07.

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Skorbiansky, Sharon Raszap, Jonathan McFadden, and Monica Saavoss. The economics of cellular agriculture. U.S. Department of Agriculture, Economic Research Service, 2024. https://doi.org/10.32747/2024.8754557.ers.

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Cellular agriculture is the production of animal products, such as meat, seafood, milk, and eggs, with no or minimal use of animals. This report introduces the economics of cell-cultured and precision fermentation foods and documents the growth in the sector. Areas of emphasis are market drivers, structural aspects of the industry, the U.S. regulatory environment, government research funding, and market challenges as of 2023.--
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Brisco, B., R. J. Brown, T. Hirose, H. McNairn, and K. Staenz. Precision Agriculture and the Role of Remote Sensing: A Review. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1998. http://dx.doi.org/10.4095/219370.

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Whiting, Gregory, Raj Khosla, and Ana Claudia Arias. Final Technical Report: Precision Agriculture using Networks of Degradable Analytical Sensors (PANDAS). Office of Scientific and Technical Information (OSTI), 2024. https://doi.org/10.2172/2516744.

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Dhal, Sambandh. Precision Plant Biomass Characterization in Agriculture: Harnessing Machine Learning and Hyperspectral Imaging. Office of Scientific and Technical Information (OSTI), 2024. https://doi.org/10.2172/2479703.

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van Boheemen, K., J. Riepma, and J. F. M. Huijsmans. Precision Agriculture and Crop Protection = (Precisielandbouw en Gewasbescherming) : Definitions and the relation between precision-applications and the authorisation procedure of PPPs. Stichting Wageningen Research, Wageningen Plant Research, Business Unit Agrosystems Research, 2022. http://dx.doi.org/10.18174/566499.

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Research Institute (IFPRI), International Food Policy. Protected agriculture, precision agriculture, and vertical farming: Brief reviews of issues in the literature focusing on the developing region in Asia. International Food Policy Research Institute, 2019. http://dx.doi.org/10.2499/p15738coll2.133152.

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Latorre, Lucía, Valentín Muro, Leticia Riquelme, César Bustamante, and Gloria Lugo. Report on Low-Risk Technological Solutions in Emerging Technologies in Agriculture. Inter-American Development Bank, 2025. https://doi.org/10.18235/0013488.

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It provides a comprehensive overview of how these innovations are being employed to enhance efficiency and sustainability in agricultural practices, covering topics such as regenerative agriculture, precision agriculture, and agricultural technologies (AgTech). The report concludes with an analysis of the challenges and opportunities faced by farmers during the process of technology adoption. The document is structured around the different stages of the agricultural cycle: soil preparation, sowing operations, crop protection and management, smart harvesting, and digital harvest management. For
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