AI and IoT for Precision Farming: Transforming Indian Agriculture

Year : 2025 | Volume : 16 | Issue : 03 | Page : 7 15
    By

    Hariom Ramjag Vind,

  • Aakash Shyamlal Yadav,

  1. Research Scholar, Thakur Institute of Management Studies, Career Development & Research (TIMSCDR),Mumbai, Maharashtra, India
  2. Research Scholar, Thakur Institute of Management Studies, Career Development & Research (TIMSCDR),Mumbai, Maharashtra, India

Abstract

Agriculture 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.

Keywords: Precision farming, artificial intelligence, internet of things, Indian agriculture, smart agriculture, sustainability, automation

[This article belongs to Journal of Remote Sensing & GIS ]

How to cite this article:
Hariom Ramjag Vind, Aakash Shyamlal Yadav. AI and IoT for Precision Farming: Transforming Indian Agriculture. Journal of Remote Sensing & GIS. 2025; 16(03):7-15.
How to cite this URL:
Hariom Ramjag Vind, Aakash Shyamlal Yadav. AI and IoT for Precision Farming: Transforming Indian Agriculture. Journal of Remote Sensing & GIS. 2025; 16(03):7-15. Available from: https://journals.stmjournals.com/jorsg/article=2025/view=227960


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Regular Issue Subscription Review Article
Volume 16
Issue 03
Received 08/04/2025
Accepted 11/06/2025
Published 10/09/2025
Publication Time 155 Days
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