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Precision Agriculture: Reviewing The Advancements, Technologies, And Applications In Precision Agriculture For Improved Crop Productivity And Resource Management

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  • Shikha Sharma

    (Faculty of Agriculture, Agriculture and Forestry University Rampur, Chitwan, Nepa)

Abstract

Precision agriculture is a rapidly advancing field that combines advanced technologies and data analytics to improve crop productivity and resource management. This article reviews the advancements, technologies, and applications in precision agriculture. It explores the role of sensing technologies, such as remote sensing, ground-based sensors, and GPS/GIS applications, in data collection and analysis for informed decision-making. The article also examines the impact of variable rate technologies, including variable rate seeding, nutrient application, and irrigation, on optimizing input usage and improving crop performance. Furthermore, it discusses the integration of precision crop management techniques, such as remote sensing, artificial intelligence, and the Internet of Things (IoT), in enhancing farming practices. While precision agriculture offers significant benefits, challenges related to cost, accessibility, data management, and education need to be addressed. It is crucial to overcome these challenges to fully harness the potential of precision agriculture for sustainable and efficient food production. By acknowledging and addressing these challenges, farmers and stakeholders can work towards the widespread adoption of precision agriculture, leading to improved crop productivity, resource management, and environmental sustainability.

Suggested Citation

  • Shikha Sharma, 2023. "Precision Agriculture: Reviewing The Advancements, Technologies, And Applications In Precision Agriculture For Improved Crop Productivity And Resource Management," Reviews in Food and Agriculture (RFNA), Zibeline International Publishing, vol. 4(2), pages 45-49, July.
    • Handle: RePEc:zib:zbrfna:v:4:y:2023:i:2:p:45-49
    DOI: 10.26480/rfna.02.2023.45.49
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    References listed on IDEAS

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    1. Egidijus Šarauskis & Marius Kazlauskas & Vilma Naujokienė & Indrė Bručienė & Dainius Steponavičius & Kęstutis Romaneckas & Algirdas Jasinskas, 2022. "Variable Rate Seeding in Precision Agriculture: Recent Advances and Future Perspectives," Agriculture, MDPI, vol. 12(2), pages 1-24, February.
    2. Jones, D. & Barnes, E. M., 2000. "Fuzzy composite programming to combine remote sensing and crop models for decision support in precision crop management," Agricultural Systems, Elsevier, vol. 65(3), pages 137-158, September.
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