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Journal articles on the topic 'Precision agriculture'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 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 (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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2

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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4

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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5

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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6

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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7

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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8

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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9

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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10

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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11

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

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12

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

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13

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

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14

Ehlert, D. "PA—Precision Agriculture." Biosystems Engineering 83, no. 1 (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 (2002): 1–20. http://dx.doi.org/10.1006/bioe.2002.0107.

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16

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

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17

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

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18

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

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19

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 (2000): 277–87. http://dx.doi.org/10.1006/jaer.2000.0604.

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20

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

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21

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

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22

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

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23

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

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24

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

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25

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

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26

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

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27

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 (2001): 37–45. http://dx.doi.org/10.1006/jaer.2000.0685.

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28

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

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29

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

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30

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

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31

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

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32

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 pesticide

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33

Fouad Abobatta, Waleed. "Why we need precision agriculture?" Journal of Applied Biotechnology & Bioengineering 9, no. 6 (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

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34

Abobatta, Waleed Fouad. "Precision farming applications in horticulture." Horticulture International Journal 8, no. 3 (2024): 91–93. https://doi.org/10.15406/hij.2024.08.00309.

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Increased food production, higher quality to satisfy the world's increasing needs, more effective use of natural resources, fewer negative impacts, and environmental protection are the goals of smart agriculture. The adoption of precision agriculture is based on the use of contemporary technologies such as sensors, drones, the Internet of Things (IoT), robotics, and learning machines. Utilizing applications that provide advanced solutions to current agricultural issues and simplify the decision-making process to increase the accuracy and efficiency of agricultural processing. Precision agricul

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35

Elias, Fornazari Garcia, and Mendes dos Santos Luciano. "REVISÃO BIBLIOMÉTRICA SOBRE PRECISION AGRICULTURE – REVIEW ARTICLES." RevistaFT 28, no. 129 (2023): 27. https://doi.org/10.5281/zenodo.10276627.

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A Agricultura de Precisão evoluiu durante este tempo, com o avanço da tecnologia a Agricultura de Precisão evoluiu ainda mais durante estes anos. O objetivo deste trabalho é fazer a revisão bibliométrica sobre Agricultura de Precisão – Artigos de Revisão e saber qual país publicou mais, em que ano houve maior número de publicações, quais autores publicaram mais e quais são as palavras chaves mais usadas nos artigos pesquisados. A pesquisa foi feita no Web of Science pesquisando pelo título Agricultura de Precisão e selecionando Título para que a pesquisa voltasse com artigos que tivesse Agricu

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36

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 (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

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37

Naidu, Kuriti Jogi, Kannipamula Vijaya Babu, Chinthala Roshitha Charan Sai, et al. "Precision Agriculture Monitoring System." Biosciences Biotechnology Research Asia 21, no. 4 (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, ensuri

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38

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 (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 suitabi

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39

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, th

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40

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

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41

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 (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 In

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42

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 (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 applic

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43

Hejbina, Mehjabin Hussain and Subrata Das*. "Precision Agriculture: Future Technology for Today's Farmers." Science World a monthly e magazine 3, no. 2 (2023): 147–51. https://doi.org/10.5281/zenodo.7633583.

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New trends are starting to develop in the agriculture industry as a result of recent improvements in communication technology and wireless sensor networks. It is now time to utilize all current methods and technologies for increased economic and ecologically sustainable crop production by fusing information technology and agricultural science. By customizing management for specific tiny sections inside fields as opposed to managing whole fields as a single unit, this exciting new trend of precision agriculture and farming sets itself apart from traditional agriculture. Although this objective

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44

Hejbina, Mehjabin Hussain and Subrata Das*. "Precision Agriculture: Future Technology for Today's Farmers." Trends In Agriculture Science 2, no. 2 (2023): 98–102. https://doi.org/10.5281/zenodo.7640641.

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New trends are starting to develop in the agriculture industry as a result of recent improvements in communication technology and wireless sensor networks. It is now time to utilize all current methods and technologies for increased economic and ecologically sustainable crop production by fusing information technology and agricultural science. By customizing management for specific tiny sections inside fields as opposed to managing whole fields as a single unit, this exciting new trend of precision agriculture and farming sets itself apart from traditional agriculture. Although this objective

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45

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 (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

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46

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 we

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47

Pauline, A. Ongadi. "A comprehensive examination of security and privacy in precision agriculture technologies." GSC Advanced Research and Reviews 18, no. 1 (2024): 336–63. https://doi.org/10.5281/zenodo.11215412.

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Precision agriculture has revolutionized modern farming practices by integrating cutting-edge technologies such as sensors, drones, and data analytics to optimize crop management. While these advancements offer unprecedented benefits in terms of yield optimization and resource efficiency, they also raise significant concerns regarding the security and privacy of sensitive agricultural data. This research paper delves into the intricate landscape of precision agriculture security and privacy, aiming to identify potential threats, vulnerabilities, and the corresponding measures necessary for saf

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48

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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49

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 (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 ap

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50

Cruz, Cristina, and Teresa Dias. "Integrating biofertilizers and precision agriculture." Open Access Government 40, no. 1 (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 che

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