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MRI India Journals Vol. 13 No. 2S (2026): Special Issue: ICSAIEM

Transforming Agriculture with AI: Opportunities, Challenges, and Future Prospects

Authors

  • Deepali Narwade
  • Nandini Jadhav
  • Dhiraj Jawale
  • Abhay Kadere
  • Swapnil Talekar

Keywords:

Artificial Intelligence Precision Agriculture Machine Learning Smart Farming IoT Agricultural Automation

Abstract

Agriculture is changing rapidly due to rising food demand, climate shifts, and pressure on natural resources. Artificial Intelligence (AI) has become a key technology that can improve agricultural productivity, efficiency, and sustainability. AI-powered solutions like machine learning, computer vision, robotics, and predictive analytics allow farmers to monitor crops, optimize resource use, detect diseases early, and make better decisions. This paper looks at the role of AI in modern agriculture, discusses key applications, evaluates challenges in implementation, and explores future opportunities for smart farming systems. The study emphasizes how AI can enhance food security while promoting environmentally friendly farming practices.

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Published

2026-07-05

How to Cite

Narwade, D., Jadhav, N., Jawale, D., Kadere, A., & Talekar, S. (2026). Transforming Agriculture with AI: Opportunities, Challenges, and Future Prospects. Multidisciplinary Journal of Research in Engineering and Technology, 13(2S), 306–308. Retrieved from https://journals.mriindia.com/index.php/mjret/article/view/4031

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