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Journal articles on the topic 'Precision agriculture'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 May 2025

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1

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 (February 28, 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-making by analyzing a wide range of agricultural data to predict crop yields, optimize irrigation schedules, and manage fertilization. These intelligent systems provide rapid insights, helping farmers make informed decisions and increase productivity and sustainability. While the Internet of Things enables machine learning and artificial intelligence by collecting real-time data from operations, the real breakthrough will come from machine learning algorithms that can predict outcomes, maintain standards, and work on the farm. Challenges such as high technology costs, complex data management, and implementation processes are only limited by time, but continuous advances in technology and research have the potential to transform agriculture by providing simple, effective, and practical solutions to today’s agricultural sector.

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2

Bujdos, Ágnes. "Precision Agriculture." Hungarian Yearbook of International Law and European Law 6, no. 1 (December 2018): 371–88. http://dx.doi.org/10.5553/hyiel/266627012018006001022.

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3

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

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4

Branzova, Petia. "PRECISION AGRICULTURE: TECHNOLOGICAL INNOVATIONS FOR SUSTAINABLE AGRICULTURE." Economic Thought journal 69, no. 1 (May 14, 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 en-vironment from implementing this approach. The importance of precision agriculture as an innovative strategy for addressing challenges and achieving sustainable develop-ment in agriculture is emphasized. The goal of this article is to assist agricultural pro-ducers, agricultural specialists, and decision-makers in the sector in making informed decisions and strategies for implementing precision agriculture in their practices. Im-plementing precision agriculture will lead to improved efficiency and sustainability by reducing the use of resources such as water, fertilizers, and pesticides, increasing the productivity of agricultural crops, and reducing the adverse environmental impacts of agriculture.

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Šilha, J., P. Hamouz, V. Táborský, K. Štípek, J. Šnobl, K. Voříšek, L. Růžek, L. Brodský, and K. Švec. "Case studies for precision agriculture." Plant Protection Science 38, SI 2 - 6th Conf EFPP 2002 (December 31, 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 properties. Although the highest correlation coefficient between the soil available P content and soil pH was established, the process of spatial dependence was not detected. Detailed field scouting and others data can be important elements, as can complex decision rules, taking into account additional factors such as the characteristics of crop protection agents and preferences of the farm manager. This paper illustrates, how to plant nutritions, crop protection, crop production might be integrated to support these diseases and weeds management decisions.

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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 to national income. More than 70% of the total workforce is dependent on it. The agriculture industry needs top priority because the government and the nation both would fail to succeed in this sector. The paper identifies various challenges associated with the adoption of precision farming in India and the technologies that could be used for better results and the betterment of both farmers and the Agri industry of India.

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Dr. V. B. Kirubanand, Dr Rohini v,. "Environment based Precision Agriculture." Psychology and Education Journal 58, no. 2 (February 17, 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 discusses an insight to dwell into the different techniques for intelligent farming in the digital world. It acts as a decision support system for the farmers to perform environment friendly smartarming.

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8

Rimpika, Anushi, S. Manasa, Anusha K. N., Sakshi Sharma, Abhishek Thakur, Shilpa, and Ankita Sood. "An Overview of Precision Farming." International Journal of Environment and Climate Change 13, no. 12 (December 21, 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 of technology and techniques to control the geographical and temporal variability associated with all aspects of agricultural production to improve output and environmental quality. Precision agricultural success is dependent on an accurate assessment of variability, its management, and evaluation in the space-time continuum of crop production. Precision agriculture's agronomic performance has been highly impressive in sugar beet, sugarcane, tea, and coffee crops. Due to lack of knowledge of space-time continuum the economic benefits environmental and social advantages are not explored yet. Precision agriculture is a relatively new field that integrates cutting-edge geographic technology with farming scenarios to optimize inputs, eliminate waste, and maximize returns. Precision farming systems are intended for use in many sorts of agricultural systems, ranging from row crops to dairy, and the technology has experienced extensive acceptance in the United States and across the globe.

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9

McClure, Julie. "Deconstructing Precision Agriculture." CSA News 60, no. 4 (April 2015): 26. http://dx.doi.org/10.2134/csa2015-60-4-15.

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10

Bruce, D. M., J. W. Farrent, C. L. Morgan, and R. D. Child. "PA—Precision Agriculture." Biosystems Engineering 81, no. 2 (February 2002): 179–84. http://dx.doi.org/10.1006/bioe.2001.0002.

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Snell, H. G. J., C. Oberndorfer, W. Lücke, and H. F. A. Van den Weghe. "PA—Precision Agriculture." Biosystems Engineering 82, no. 3 (July 2002): 269–77. http://dx.doi.org/10.1006/bioe.2002.0074.

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Hsieh, Ching-Lu, and Ta-Te Lin. "PA—Precision Agriculture." Biosystems Engineering 82, no. 3 (July 2002): 279–88. http://dx.doi.org/10.1006/bioe.2002.0078.

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Ehlert, D. "PA—Precision Agriculture." Biosystems Engineering 83, no. 1 (September 2002): 47–53. http://dx.doi.org/10.1006/bioe.2002.0101.

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Roy, J. C., T. Boulard, C. Kittas, and S. Wang. "PA—Precision Agriculture." Biosystems Engineering 83, no. 1 (September 2002): 1–20. http://dx.doi.org/10.1006/bioe.2002.0107.

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Yang, Chun-Chieh, Shiv O. Prasher, Joann Whalen, and Pradeep K. Goel. "PA—Precision Agriculture." Biosystems Engineering 83, no. 3 (November 2002): 291–98. http://dx.doi.org/10.1006/bioe.2002.0128.

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16

Zhang, Q., and S. Han. "PA—Precision Agriculture." Biosystems Engineering 83, no. 3 (November 2002): 299–306. http://dx.doi.org/10.1006/bioe.2002.0134.

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17

Holownicki, R., G. Doruchowski, A. Godyn, and W. Swiechowski. "PA—Precision Agriculture." Journal of Agricultural Engineering Research 77, no. 2 (October 2000): 129–36. http://dx.doi.org/10.1006/jaer.2000.0587.

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18

Smith, K. A., D. R. Jackson, T. H. Misselbrook, B. F. Pain, and R. A. Johnson. "PA—Precision Agriculture." Journal of Agricultural Engineering Research 77, no. 3 (November 2000): 277–87. http://dx.doi.org/10.1006/jaer.2000.0604.

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19

Alchanatis, V., A. Navon, I. Glazer, and S. Levski. "PA—Precision Agriculture." Journal of Agricultural Engineering Research 77, no. 3 (November 2000): 289–96. http://dx.doi.org/10.1006/jaer.2000.0610.

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20

Lamb, D. W., and R. B. Brown. "PA—Precision Agriculture." Journal of Agricultural Engineering Research 78, no. 2 (February 2001): 117–25. http://dx.doi.org/10.1006/jaer.2000.0630.

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21

Hemming, J., and T. Rath. "PA—Precision Agriculture." Journal of Agricultural Engineering Research 78, no. 3 (March 2001): 233–43. http://dx.doi.org/10.1006/jaer.2000.0639.

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22

Farooq, M., R. Balachandar, D. Wulfsohn, and T. M. Wolf. "PA—Precision Agriculture." Journal of Agricultural Engineering Research 78, no. 4 (April 2001): 347–58. http://dx.doi.org/10.1006/jaer.2000.0660.

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23

Paillat, J. M., and F. Gaillard. "PA—Precision Agriculture." Journal of Agricultural Engineering Research 79, no. 1 (May 2001): 15–22. http://dx.doi.org/10.1006/jaer.2000.0666.

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24

Wright, D. A., J. P. Frost, D. C. Patterson, and D. J. Kilpatrick. "PA—Precision Agriculture." Journal of Agricultural Engineering Research 79, no. 1 (May 2001): 23–35. http://dx.doi.org/10.1006/jaer.2000.0667.

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25

Maertens, K., J. De Baerdemaeker, H. Ramon, and R. De Keyser. "PA—Precision Agriculture." Journal of Agricultural Engineering Research 79, no. 2 (June 2001): 187–93. http://dx.doi.org/10.1006/jaer.2000.0681.

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26

Snell, H. G. J., C. Oberndorfer, A. Kutz, W. Lücke, and H. F. A. Van den Weghe. "PA—Precision Agriculture." Journal of Agricultural Engineering Research 79, no. 1 (May 2001): 37–45. http://dx.doi.org/10.1006/jaer.2000.0685.

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27

Dulcet, Edmund. "PA—Precision Agriculture." Journal of Agricultural Engineering Research 79, no. 3 (July 2001): 275–82. http://dx.doi.org/10.1006/jaer.2000.0697.

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28

van Bergeijk, J., D. Goense, and L. Speelman. "PA—Precision Agriculture." Journal of Agricultural Engineering Research 79, no. 4 (August 2001): 371–87. http://dx.doi.org/10.1006/jaer.2001.0709.

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29

van Bergeijk, J., D. Goense, L. G. van Willigenburg, and L. Speelman. "PA—Precision Agriculture." Journal of Agricultural Engineering Research 80, no. 1 (September 2001): 25–35. http://dx.doi.org/10.1006/jaer.2001.0714.

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30

Ajit B. Jain. "Pioneering Precision Agriculture." Agricultural Engineering Today 47, no. 4 (January 31, 2025): 03–06. https://doi.org/10.52151/aet2023474.1684.

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31

Ivanovich Vatin, Nikolai, Sanjeev Kumar Joshi, Puja Acharya, Rajat Sharma, and N. Rajasekhar. "Precision Agriculture and Sustainable Yields: Insights from IoT-Driven Farming and the Precision Agriculture Test." BIO Web of Conferences 86 (2024): 01091. http://dx.doi.org/10.1051/bioconf/20248601091.

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This study clarifies how precision agriculture powered by the Internet of Things may optimize agricultural productivity and sustainability. Important connections, like the positive association between agricultural output and soil moisture, are revealed by analyzing data from Internet of Things sensors. Test findings for Precision Agriculture show impressive production increases: 20% better yields for wheat, 15% higher yields for maize, and 5% higher yields for soybeans. Interestingly, these improvements come with significant resource savings, with a 10% to 20% reduction in the use of pesticides and fertilizers. The evaluation of sustainable yield highlights efficiency levels between 92% and 95%. These results demonstrate how precision agriculture has the potential to completely transform contemporary agricultural methods by maximizing crop output, promoting sustainability, and reducing environmental impact.

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32

Fouad Abobatta, Waleed. "Why we need precision agriculture?" Journal of Applied Biotechnology & Bioengineering 9, no. 6 (November 28, 2022): 222–23. http://dx.doi.org/10.15406/jabb.2022.09.00313.

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Due to continuous food demand worldwide from the available natural resources, looking for different agricultural practice is very important to produce adequate food quantity to feeding humanity. Precision agriculture aims to adapt, modify, and promote agricultural practices to sustain production, and provide solutions to various problems that face farmers, by enhancing farmers’ awareness to deal with climate change, protect the environment, and increase profitability. Adoption of precision agriculture assists in producing enough food to feed humanity, fighting hunger, and providing other daily requirements, which represents the most prominent challenge for humanity.

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33

Naidu, Kuriti Jogi, Kannipamula Vijaya Babu, Chinthala Roshitha Charan Sai, Pediredla Ganesh, Tenkani Gowtham Sai, Nadupuru Somendhra Naidu, Chargundla Praneeth, and Gudimalla Sumanth. "Precision Agriculture Monitoring System." Biosciences Biotechnology Research Asia 21, no. 4 (December 20, 2024): 1543–51. https://doi.org/10.13005/bbra/3324.

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ABSTRACT: Smart agriculture systems leverage advanced versions such as the Internet of Things, sensor networks, and data visualisation methods to optimize farming practices, improve crop yield, and reduce resource consumption. These systems integrate various sensors to monitor environmental parameters such as soil moisture, temperature, humidity, and light intensity. The data which is collected data is analyzed in real-time to provide actionable insights for farmers, enabling precision agriculture. Automated irrigation systems can adjust watering schedules based on soil moisture levels, ensuring optimal water usage. Additionally, smart agriculture systems can include pest detection and weather forecasting capabilities, allowing for timely interventions and better risk management. By utilizing these technologies, farmers can enhance productivity, minimize waste, and promote sustainable farming practices, ultimately contributing to food security and environmental conservation. The paper's feature involves creating a system that can monitor temperature, humidity, moisture, and animal movement in agricultural fields using Arduino sensors. It will send SMS and app notifications to the farmer's smartphone in case of any issues, using Wi-Fi/3G/4G.

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Adebunmi Okechukwu Adewusi, Njideka Rita Chiekezie, and Nsisong Louis Eyo-Udo. "Cybersecurity in precision agriculture: Protecting data integrity and privacy." International Journal of Applied Research in Social Sciences 5, no. 10 (December 30, 2023): 693–708. http://dx.doi.org/10.51594/ijarss.v5i10.1482.

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Precision agriculture, an innovative approach to farming that leverages data-driven technologies, has revolutionized the agricultural sector by enhancing productivity, resource efficiency, and sustainability. However, the increasing reliance on digital tools and connected devices has introduced significant cybersecurity challenges, particularly concerning data integrity and privacy. This paper explores the critical importance of cybersecurity in precision agriculture, focusing on protecting sensitive agricultural data from breaches, unauthorized access, and potential manipulation. As precision agriculture systems collect vast amounts of data through sensors, drones, and GPS-enabled devices, the risk of cyber threats has escalated. These threats can compromise the integrity of critical data, leading to inaccurate decision-making, financial losses, and disruption of agricultural operations. Moreover, the interconnected nature of precision agriculture systems makes them vulnerable to cyberattacks that could have widespread implications across the agricultural supply chain. This study examines the key cybersecurity challenges in precision agriculture, including the protection of data at rest and in transit, the safeguarding of privacy in data sharing among stakeholders, and the implementation of robust encryption and authentication mechanisms. It also highlights the importance of developing industry-specific cybersecurity standards and best practices tailored to the unique needs of the agricultural sector. Furthermore, the paper discusses the ethical considerations of data privacy in precision agriculture, emphasizing the need to balance technological advancement with the protection of farmers' and consumers' rights. The potential consequences of inadequate cybersecurity measures, such as the loss of trust in digital farming technologies and the erosion of competitive advantage, are also addressed. In conclusion, as precision agriculture continues to evolve, ensuring the integrity and privacy of agricultural data through effective cybersecurity measures is paramount. This will not only protect the agricultural sector from emerging cyber threats but also foster the sustainable growth and adoption of precision agriculture technologies. Keywords: Cybersecurity, Precision Agriculture, Data Privacy, Data Integrity, Protecting.

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35

Medici, Marco, Søren Marcus Pedersen, Giacomo Carli, and Maria Rita Tagliaventi. "Environmental Benefits of Precision Agriculture Adoption." ECONOMIA AGRO-ALIMENTARE, no. 3 (January 2020): 637–56. http://dx.doi.org/10.3280/ecag2019-003004.

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The purpose of this study is to analyse the environmental benefits of precision agriculture technology adoption obtained from the mitigation of negative environmental impacts of agricultural inputs in modern farming. Our literature review of the environmental benefits related to the adoption of precision agriculture solutions is aimed at raising farmers' and other stakeholders' awareness of the actual environmental impacts from this set of new technologies. Existing studies were categorised according to the environmental impacts of different agricultural activities: nitrogen application, lime application, pesticide application, manure application and herbicide application. Our findings highlighted the effects of the reduction of input application rates and the consequent impacts on climate, soil, water and biodiversity. Policy makers can benefit from the outcomes of this study developing an understanding of the environmental impact of precision agriculture in order to promote and support initiatives aimed at fostering sustainable agriculture.

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36

Kotpalliwar, Priyanka, Mayuri Barmate, Prachi Satpute, Damini Manapure, and Mohammad Hassan. "Agro Analysis System for Precision Agriculture." International Journal for Research in Applied Science and Engineering Technology 11, no. 4 (April 30, 2023): 960–63. http://dx.doi.org/10.22214/ijraset.2023.50238.

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Abstract: Huge amount of data is collected by the sensors from the end. Subsequently, this considerably big amount of data must be processed, analyzed and stored in a cost effective way. In this manner, an enormous pool of computing resources and storage must be provided to compute this vast amount of data. We focused on introducing the latest technologies such as sensors, WSN to radically revise approaches to agriculture by collecting the data about the various parameters of soil, analyzing the data and performing the computations, giving the best optimal solutions for the farming. The application of computing in the agricultural economy will open up a vast range of prospects, such as the vast storage of agriculture information, the cloud management of agricultural production process, the storage of agricultural economy information, early-warning and policymaking based on the agricultural products market, the tracing management of agricultural products quality.

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37

Sondakh, Joula, Janne H. W. Rembang, and NFN Syahyuti. "KARAKTERISTIK, POTENSI GENERASI MILENIAL DAN PERSPEKTIF PENGEMBANGAN PERTANIAN PRESISI DI INDONESIA." Forum penelitian Agro Ekonomi 38, no. 2 (June 7, 2021): 155. http://dx.doi.org/10.21082/fae.v38n2.2020.155-166.

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<p>Precision agriculture requires appropriate characters of human resources to implement it. It is an integrated agricultural system based on information and production to increase business efficiency, productivity and profitability. The concept of precision agriculture, as one of the latest agricultural technology packages, was born along with the emergence of the millennial generation, namely those born between 1980 and 2000.This paper discusses the character of precision agriculture and necessity to apply it and its link to the millennial generation in terms of their character suitability and capacity. Application of precision agriculture requires the millennial generation’s ability to create, engineer and operate modern agricultural systems based on this new technology. Applying precision agriculture in Indonesia deals with various characteristics of the millennial generation due to different regional and socio-economic conditions. The government should provide infrastructure and conduct millennial farmers training to achieve social, economic, and environmental benefits of precision agriculture implementation.</p>

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38

Zhang, Bingtao, and Lingyan Meng. "Energy Efficiency Analysis of Wireless Sensor Networks in Precision Agriculture Economy." Scientific Programming 2021 (August 20, 2021): 1–7. http://dx.doi.org/10.1155/2021/8346708.

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Wireless sensor network (WSN) can play an important role during precision agriculture production to promote the growth of the agricultural economy. The application of WSN in agricultural production can achieve precision agriculture. WSN has the biggest challenge of energy efficiency. This paper proposes a model to efficiently utilize the energy of sensor nodes in precision agriculture production. The proposed model provides a comprehensive analysis of the precision agriculture. The model focuses on the characteristics of WSN and expands its application in precision agriculture. In addition, this paper also puts forward some technical prospects to provide a good reference for comprehensively and effectively improving the overall development level of precision agriculture. The paper analyzes the applicability and limitations of the existing sensor networks used for agricultural production technology. The ZigBee and Lora wireless protocols are utilized to have the best power consumption and communication in short distance and long distance. Our proposed model also suggests improvement measures for the shortcomings of existing WSN in the context of energy efficiency to provide an information platform for WSN to play a better role in agricultural production.

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39

Boahen, Jeffrey Obiri. "Advancements in Precision Agriculture: Integrating Computer Vision for Intelligent Soil and Crop Monitoring in the Era of Artificial Intelligence." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 03 (March 27, 2024): 1–5. http://dx.doi.org/10.55041/ijsrem29725.

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Precision Agriculture has witnessed significant advancements with the integration of computer vision and artificial intelligence (AI) technologies, marking a transformative era in modern farming practices. This research explores the synergies between computer vision and intelligent soil and crop monitoring in the context of precision agriculture. The study aims to contribute insights into the application of advanced technologies for optimizing agricultural processes, enhancing resource efficiency, and improving overall crop yield. Keywords— Precision Agriculture, Computer Vision, Artificial Intelligence, Soil Monitoring, Crop Monitoring, Image Processing, Machine Learning, Deep Learning, Agricultural Technology, Intelligent Farming, Data Analytics, Precision Farming, Sensor Technologies, Agricultural Innovation, Sustainable Agriculture.

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40

DE BAERDEMAEKER, Josse. "Precision Agriculture as Basis for Good Agricultural Practices." TRENDS IN THE SCIENCES 21, no. 5 (2016): 5_76–5_78. http://dx.doi.org/10.5363/tits.21.5_76.

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41

Soum, Abderrahmane, Abbassia Ayache, and Malika Zoubidi. "Attitudes of Algerian agricultural engineers towards the challenges facing precision agriculture adoption in Algeria." Brazilian Journal of Animal and Environmental Research 8, no. 1 (February 1, 2025): e77198. https://doi.org/10.34188/bjaerv8n1-050.

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In order to increase agricultural production, profitability and environmental sustainability, precision agriculture integrates geolocation technologies, agronomic knowledge, information technologies and variable rate application technologies to adapt agricultural work intra-plot differences. The adoption of precision agriculture in Algeria has the potential to increase crop yield and profitability, reduce environmental impacts, and modernize agricultural production systems. In this study the attitude of 322 Algerian agricultural engineers towards the challenges that can hinder the adoption of precision agriculture in Algeria was measured as well as their perception on the importance of the state subsidy to overcome these challenges. The results of this study revealed that the 3 main challenges that hinder the adoption of precision agriculture in Algeria are linked to the high cost of the technologies used, the limited number of skilled labor and the unavailability of several technologies in the Algerian market. In addition, according to Algerian agricultural engineers, the state subsidy will help overcome these challenges and promote the adoption of precision agriculture in Algeria.

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42

Osadcha, A. O. "Precision farming as an agrarian and legal category: genesis of development and legal problems of definition in Ukraine and in the world." Analytical and Comparative Jurisprudence, no. 1 (March 1, 2025): 373–78. https://doi.org/10.24144/2788-6018.2025.01.60.

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The article analyzes the genesis of the development of precision farming and the regulatory normalization of relations in this field in Ukraine and in the world. The author notes that the first scientific studies in the field of precision agriculture began in the 1920s as recommendations for the analysis of soil data. The availability of GPS for agriculture became the basis for the development of precision agriculture and the acceleration of all its processes. The author emphasizes at the beginning of the development of precision agriculture, various applications of nutrients and pesticides were allowed, but there was no deep understanding of how soil fertility and pests change in space and time. There was also a lack of explanations of what specifically causes this variability, thus the first definitions of the concept of “precision agriculture” were general. It is noted that the first regulatory acts in the field of precision agriculture were developed in 1998 in the USA, which influenced the development of technology in the world. The article examines the scientific approaches of both foreign and Ukrainian scientists to the concept of «precision agriculture» as one of the adaptive forms of agricultural production, based on the principles of sustainable development of agricultural production and the agrosphere as a whole. The author concludes that the most appropriate is to use the construction «precision agriculture», which corresponds to the essence of the original English-language concept of «precision agriculture». The categories «precision farming» and «precision agriculture» are identical and can be used as synonyms. Special attention is paid to the analysis of the current legislation of Ukraine in the field of precision agriculture. The current legislation of Ukraine in the field of precision agriculture is currently declarative and framework. The concept of «digital agriculture», which is used in the current legislation, does not correspond to the essence of the concept of «precision farming» and cannot be used to characterize it. Based on the analysis, the author formulated his own definition of «precision farming» as an agrarian and legal category.

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43

Cruz, Cristina, and Teresa Dias. "Integrating biofertilizers and precision agriculture." Open Access Government 40, no. 1 (October 25, 2023): 450–51. http://dx.doi.org/10.56367/oag-040-10978.

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Integrating biofertilizers and precision agriculture This article presents a comprehensive analysis of the integration of biofertilisers and precision agriculture, with the aim of creating a virtuous circle of agricultural growth and sustainability, by Cristina Cruz and Teresa Dias of the Faculdade de Ciências da Universidade de Lisboa. “What do plants feed on?” may seem a simple question, but our answer has changed over time, and there is still no consensus. From antiquity until the mid-18th century, we thought plants fed on organic compounds (i.e., the humus theory). With the advances in chemistry and the discovery of chemical elements, we considered that plants feed on water and mineral salts. The industrialisation of the Haber-Bosch process allowed the production of large quantities of affordable fertilizers, allowing the green revolution of the mid-20th century and intensive agriculture.

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Zhang, Qin. "Opinion paper: Precision agriculture, smart agriculture, or digital agriculture." Computers and Electronics in Agriculture 211 (August 2023): 107982. http://dx.doi.org/10.1016/j.compag.2023.107982.

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Kumari, Niru, Mukul Kumar, Ashutosh Singh, and Amit Kumar Pandey. "Recent Innovation in Precision Agriculture and their Impact on Crop and Soil Health: A Compressive Review." Journal of Scientific Research and Reports 30, no. 8 (July 30, 2024): 382–93. http://dx.doi.org/10.9734/jsrr/2024/v30i82261.

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The maintenance of soil fertility and on-farm research or demonstrations might be enhanced by precision agricultural technologies. Using state-of-the-art technology, precision agriculture boosts agricultural output without negatively affecting the environment. Utilising cutting-edge technology and data analysis, precision agriculture aims to boost production, minimise waste, and maximise crop yields. This might be a viable approach to addressing some of the main problems facing modern agriculture, such feeding an expanding global population while lessening its impact on the environment. The application of precision agriculture starts with the collection of real-time data from various sources, such as satellite imagery, remote sensing, global positioning systems, geographic information systems, drones, soil sensors, and weather stations. Precision agriculture has become essential in addressing the challenges posed by a growing global population, climate change, and resource constraints. Recognising within-field variability and providing chances for differentiating treatment of sections within a field or industrial unit are what fuel demand for precision agriculture. Precision agriculture technology plays an important part in sustainable soil and crop management in modern agriculture by lowering crop production inputs and managing lands in an ecologically responsible way.

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Rickatson, Martin. "The Precision Decision." Industrial Vehicle Technology International 29, no. 4 (December 2021): 68–74. http://dx.doi.org/10.12968/s1471-115x(23)70408-x.

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FARM COMMODITY PRICES ARE ON THE RISE - BUT SO ARE FARM INPUT COSTS, ALONG WITH PRESSURES TO PRODUCE MORE FROM LESS. SUCH CHALLENGES ARE A KEY DRIVER BEHIND AGRICULTURAL MACHINERY OEMS CHOOSING TO HELP BY INVESTING IN AND COLLABORATING ON PRECISION AGRICULTURE

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Rama, Mr V. Seetha. "Precision Agriculture using IOT." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (July 10, 2021): 122–27. http://dx.doi.org/10.22214/ijraset.2021.36255.

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Automation of farm activities can transform agricultural domain from being manual and static to intelligent and dynamic leading to higher production with lesser human supervision. This paper proposes an automated irrigation system which monitors and maintains the desired soil moisture content via automatic watering. Microcontroller ATMEGA328P on Arduino Uno platform is used to implement the control unit. The setup uses soil moisture sensors which measure the exact moisture level in soil. This value enables the system to use appropriate quantity of water which avoids over/under irrigation. IOT is used to keep the farmers updated about the status of sprinklers. Information from the sensors is regularly updated on a webpage using GSM-GPRS SIM900A modem through which a farmer can check whether the water sprinklers are ON/OFF at any given time. Also, the sensor readings are transmitted to a Thing speak channel to generate graphs for analysis.

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Kaushal, N. V. "Precision Agriculture using LoRaWAN." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 30, 2021): 3867–71. http://dx.doi.org/10.22214/ijraset.2021.35818.

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The growing world population as well as increased awareness of the stress, agriculture places on the atmosphere has put farmers beneath intense pressure. Its value is noting that the farmers have long leveraged the technological breakthroughs and to adapt agricultural practices to ever-changing in times and this era is no exception, significantly with the emergency of fine Agriculture. Advanced commercial enterprise is fully dependent on power to efficiently manage resources so as to cut back the environmental impact, minimize the price and maximize the yield. Farmers are facing the associate degree interconnected to host of challenges and thus, having interest in incorporating the innovative technological solutions. Harnessing technology to alter precision agriculture has emerged to produce farmers with the tools they need to serve a half-hour larger population within the future in a very property approach that's harmonical with nature. The wireless sensor network (WSN) is a technology that has quickly been evolved over the years by enabling the spectrum of applications like industry, military, and agriculture. The LoRa devices have provided the ability to mechanically monitor the crops and the animals, which further provides the profitable knowledge which has been collected manually. During this project we tend to come up with a technology, to form a wireless network and alter the irreversible consequences of poor irrigation management. By dispersing the sensors that are connected to the phones or computers of the farmers will instantly receive the data on soil moisture and temperature, weather and rain, crop growth, and also receive the alerts on fire or theft and will activate irrigation instrumentation. All the data collected can feed into call management tools that helps the farmers to take the correct call at the correct time to get optimized results and will guarantee the property of his farm so high price knowledge are often transmitted over distances of up to fifteen metric linear unit from the sensors whose batteries which is lasting up to 10 years, leading to lower the maintenance and in operation prices beside the larger operational visibility, that successively empowers farmers to build their businesses.

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Bongiovanni, R., and J. Lowenberg-Deboer. "Precision Agriculture and Sustainability." Precision Agriculture 5, no. 4 (August 2004): 359–87. http://dx.doi.org/10.1023/b:prag.0000040806.39604.aa.

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van Schilfgaarde, Jan. "Is precision agriculture sustainable?" American Journal of Alternative Agriculture 14, no. 1 (March 1999): 43–46. http://dx.doi.org/10.1017/s088918930000802x.

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