AI and IoT for Precision Farming: Transforming Indian Agriculture

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Notice

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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Year : 2025 [if 2224 equals=””]25/09/2025 at 1:48 PM[/if 2224] | [if 1553 equals=””] Volume : 16 [else] Volume : 16[/if 1553] | [if 424 equals=”Regular Issue”]Issue : [/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 03 | Page : 7 15

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    Hariom Ramjag Vind, Aakash Shyamlal Yadav,

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  1. 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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[/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue under section in Journal of Remote Sensing & GIS (jorsg)][/if 424][if 424 equals=”Conference”]This article belongs to Conference [/if 424]

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How to cite this article:
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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How to cite this URL:
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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[if 424 not_equal=””]Regular Issue[else]Published[/if 424] Subscription Review Article

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Journal of Remote Sensing & GIS

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[if 344 not_equal=””]ISSN: 2230-7990[/if 344]

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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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