AgriSetu: Using AI, IoT, and Environmental Intelligence to Promote Sustainable Agriculture

Authors

  • Anamika Singh Student, Rajiv Gandhi Institute of Technology, Mumbai, India
  • Sharmila N Rathod Student, Rajiv Gandhi Institute of Technology, Mumbai, India

Keywords:

Intelligent Farming, AI, The Internet of Things, Smart Farming, Monitoring for Crop Health

Abstract

Plant diseases, wasteful resource use, and erratic weather patterns are some of the major issues facing agriculture today, all of which reduce output. In order to maximise plant development and reduce illness, this study presents AgriSetu, an intelligent agricultural framework that combines artificial intelligence (AI), the Internet of Things (IoT), and environmental monitoring. AgriSetu makes it possible to implement quick and accurate interventions for increased crop health and yield by utilising AI-driven predictive analytics and real-time environmental data obtained through the Internet of Things.

Applications like precision farming, adaptive irrigation, and early disease detection are supported by the framework, which helps create a more robust and effective agricultural system. Beyond helping farmers with their immediate problems, AgriSetu supports ecological balance and prudent resource management, which is in line with global sustainability goals. An important step toward the future of sustainable agriculture is this integration of cutting-edge technologies.

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Published

2025-10-11