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Open Access
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nThis is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.n
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Hariom Ramjag Vind, Aakash Shyamlal Yadav,
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- Research Scholar, Research Scholar, Thakur Institute of Management Studies, Career Development & Research (TIMSCDR),Mumbai, Thakur Institute of Management Studies, Career Development & Research (TIMSCDR),Mumbai, Maharashtra, Maharashtra, India, India
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Abstract
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nAgriculture plays a crucial role in the global economy with the exponential rise in population. There is a parallel increase in the demand for food and employment exerting pressure on conventional farming methods. These traditional techniques are often inadequate in meeting current agricultural demands. Consequently, automation in agriculture has gained significant attention as an evolving field. The integration of artificial intelligence (AI) into agricultural processes has led to a transformative shift enhancing crop productivity while mitigating challenges such as climate change, labour shortages and food security concerns. This study presents a comprehensive review of AI-enabled applications in agriculture including automated irrigation, precision spraying, and weeding systems, implemented through sensors, robotics and unmanned aerial vehicles UAVs. These technologies aid in optimizing water usage, minimizing the overuse of pesticides and herbicides, maintaining soil fertility and improving labour efficiency. The review further examines contemporary research on robotic and drone- based weeding systems, soil moisture sensing approaches, and UAV-assisted spraying and crop- monitoring techniques.nn
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Keywords: Precision farming, artificial intelligence, internet of things, Indian agriculture, smart agriculture, sustainability, automation
n[if 424 equals=”Regular Issue”][This article belongs to Journal of Remote Sensing & GIS ]
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nHariom Ramjag Vind, Aakash Shyamlal Yadav. [if 2584 equals=”][226 wpautop=0 striphtml=1][else]AI and IoT for Precision Farming: Transforming Indian Agriculture[/if 2584]. Journal of Remote Sensing & GIS. 10/09/2025; 16(03):7-15.
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nHariom Ramjag Vind, Aakash Shyamlal Yadav. [if 2584 equals=”][226 striphtml=1][else]AI and IoT for Precision Farming: Transforming Indian Agriculture[/if 2584]. Journal of Remote Sensing & GIS. 10/09/2025; 16(03):7-15. Available from: https://journals.stmjournals.com/jorsg/article=10/09/2025/view=0
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| Volume | 16 | |
| [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] | 03 | |
| Received | 08/04/2025 | |
| Accepted | 11/06/2025 | |
| Published | 10/09/2025 | |
| Retracted | ||
| Publication Time | 155 Days |
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