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Journal articles on the topic 'Precision agriculture'

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Published: 4 June 2021
Last updated: 25 May 2024

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1

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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2

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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3

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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4

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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5

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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6

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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7

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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8

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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9

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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10

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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11

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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12

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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13

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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14

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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15

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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16

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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17

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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18

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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19

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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20

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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21

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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22

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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23

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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24

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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25

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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26

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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27

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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28

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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29

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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30

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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31

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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32

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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33

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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34

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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35

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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36

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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37

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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38

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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39

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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42

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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43

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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44

Schepers, James. "Precision agriculture for sustainability." Precision Agriculture 20, no. 1 (December 17, 2018): 1–3. http://dx.doi.org/10.1007/s11119-018-09627-5.

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45

Feng, Hao. "The Evolution and Potential of Precision Agriculture in China Anchored In "3S" Technology." Highlights in Science, Engineering and Technology 81 (January 26, 2024): 592–97. http://dx.doi.org/10.54097/43n29y21.

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Agriculture serves as a linchpin for the national economy. With the accelerated evolution of information technology and emergent high-tech innovations, the digitization of agriculture has emerged as a pivotal trajectory for contemporary agricultural advancement. Conventional practices encompassing planting, fertilization, and harvesting are transitioning towards more quantitative, localized, and technologically-driven precision agriculture. Concurrently, with the global surge in "precision agriculture", Chinese academicians have progressively delved into its study. Over the past three decades, the "3S" technology-centric "precision agriculture" in China has witnessed commendable advancements, exemplified by innovations such as the Global Agricultural Remote Sensing Quick Report System and the Beidou Satellite Navigation System-based autonomic agricultural machinery operation. However, the modernization of Chinese agriculture exhibits certain limitations, including limited adoption, suboptimal integration, and a scarcity of high-caliber experts. Given the swift progression of Chinese scientific and economic domains, the "3S" technology is poised to surmount these challenges, enhancing the modernization of Chinese agriculture. Hence, "precision agriculture" anchored in "3S" technology retains significant growth prospects within China.
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Tangkesalu, Dance, Edward R. T. Tiekink, Dedie Tooy, Loso Judijanto, and Saprudin Saprudin. "Precision Agriculture: Integrating Technology for Enhanced Efficiency and Sustainability in Crop Management." Global International Journal of Innovative Research 1, no. 3 (December 13, 2023): 213–19. http://dx.doi.org/10.59613/global.v1i3.37.

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Precision Agriculture (PA) represents a paradigm shift in contemporary farming practices, leveraging advanced technologies to revolutionize crop management for improved efficiency and sustainability. This article explores the comprehensive integration of cutting-edge technologies within Precision Agriculture, aiming to optimize resource use, reduce environmental impact, and enhance overall agricultural productivity. Traditional agricultural methods often employ broad and generalized practices, leading to inefficiencies in resource utilization and adverse environmental consequences. Precision Agriculture harnesses the power of technology, incorporating tools such as GPS, sensors, drones, and data analytics to tailor farming practices with precision, resulting in a more sustainable and efficient cultivation process. In conclusion, this article lays the groundwork for a comprehensive exploration of Precision Agriculture, underscoring the need for an integrated approach to maximize efficiency and sustainability in crop management. The ensuing sections will delve into the methodology, analysis, and findings, contributing to the evolving landscape of modern agriculture.
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47

Bogue, Robert. "Sensors key to advances in precision agriculture." Sensor Review 37, no. 1 (January 16, 2017): 1–6. http://dx.doi.org/10.1108/sr-10-2016-0215.

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Purpose This study aims to illustrate the growing role that sensors play in agriculture, with an emphasis on precision agricultural practices. Design/methodology/approach Following a short introduction, this study first provides an overview of agricultural measurements and applications. It then discusses the importance of airborne and land-based optical sensing techniques and the role of the normalised difference vegetation index. Sensors used on conventional and robotic agricultural machines are considered next, and fixed sensors and sensor networks are then discussed. Finally, brief concluding comments are drawn. Findings This shows that much modern agriculture is a high-technology business which relies on a multitude of sensor-based measurements. Sensors are based on a diversity of optical and other technologies and measure a wide range of physical and chemical variables. They are deployed in the air, on agricultural machines and in the field and generate data that can be used to enhance productivity and reduce both costs and the impact on the environment. Originality/value This provides a detailed insight into the important role played by sensors in modern agricultural practices.
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48

Trivelli, Leonello, Andrea Apicella, Filippo Chiarello, Roberto Rana, Gualtiero Fantoni, and Angela Tarabella. "From precision agriculture to Industry 4.0." British Food Journal 121, no. 8 (August 5, 2019): 1730–43. http://dx.doi.org/10.1108/bfj-11-2018-0747.

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Purpose Circumstances that are have a significant impact on it. In particular, environmental sustainability related to the increase of worldwide population, and market demand for agricultural products (with consumers more and more aware about cultivation and breeding techniques and interested in healthy and high-quality products) represent two of the key challenges that the agricultural sector is going to face in next years. In such a landscape, technological innovations that can support organizations and entrepreneurs to face these problems become increasingly important, and Industry 4.0 is the most striking example. Indeed, the Industry 4.0 paradigm aims to integrate digital technologies into business processes to raise productivity levels and to develop new business models. Accordingly, digital technologies play a similar role in the precision agriculture domain, and the purpose of this paper is to understand if the technologies at the basis of these two paradigms are the same or not. Design/methodology/approach The present work investigates how the two domains of Industry 4.0 and precision agriculture are connected to one another by analyzing the most used technologies in both the fields in order to highlight common patterns and technological overlaps. To reach such goal, an approach combining manual and automated analysis was developed. Findings The research work generated three main results: a dictionary of precision agriculture technologies including 324 terms; a graph, describing the connections between the technologies composing the dictionary; and a representation of the main technological clusters identified. Originality/value These show how the two domains under analysis are directly connected and describe the most important technologies to leverage when approaching digital transformation processes in the agricultural sector.
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49

Zheng, Bi Geng, and Heng Wang. "Application Research of Wireless Sensor Network in the Fine Production of Agriculture." Applied Mechanics and Materials 513-517 (February 2014): 3695–98. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.3695.

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Wireless Sensor Network (WSN) technology has the potential to have impact on many aspects of Precision Agriculture (PA). However, current WSN applications in Precision Agriculture all adopt the traditional client/sever model, data are sent from the source to the destination, because of hugeous data, high concurrency and strong signal interference in Precision Agriculture and the extremely limited sensor network resources, such client/sever model hampers WSN applications in Precision Agriculture.[ This paper presents a mobile-based agent of wireless sensor network model MAPA, MAPA avoids the large agricultural intermediate data transmission through migrating the computing to the resource source, and consequently it prolongs the sensor network lifetime and promotes the WSN applications in Precision Agriculture.
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50

Karunathilake, E. M. B. M., Anh Tuan Le, Seong Heo, Yong Suk Chung, and Sheikh Mansoor. "The Path to Smart Farming: Innovations and Opportunities in Precision Agriculture." Agriculture 13, no. 8 (August 11, 2023): 1593. http://dx.doi.org/10.3390/agriculture13081593.

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Precision agriculture employs cutting-edge technologies to increase agricultural productivity while reducing adverse impacts on the environment. Precision agriculture is a farming approach that uses advanced technology and data analysis to maximize crop yields, cut waste, and increase productivity. It is a potential strategy for tackling some of the major issues confronting contemporary agriculture, such as feeding a growing world population while reducing environmental effects. This review article examines some of the latest recent advances in precision agriculture, including the Internet of Things (IoT) and how to make use of big data. This review article aims to provide an overview of the recent innovations, challenges, and future prospects of precision agriculture and smart farming. It presents an analysis of the current state of precision agriculture, including the most recent innovations in technology, such as drones, sensors, and machine learning. The article also discusses some of the main challenges faced by precision agriculture, including data management, technology adoption, and cost-effectiveness.
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