• Dr. K. Krishna Murthy

This research looks at how Artificial Intelligence (AI) and Internet of Things (IoT) technologies can help agriculture become more sustainable. We focus on how these technologies allow farmers to better monitor crops, use water more efficiently, and make better decisions based on data. By looking at research and case studies from India and around the world, we show that AI-based crop monitoring systems, IoT-enabled smart irrigation, and automated farm machinery can improve farming while using fewer resources. Our findings show that these technologies can increase crop yields by 15-30% while reducing water usage by up to 50% and pesticide use by 30%. We conclude with suggestions for implementing these technologies in developing regions, highlighting the need for affordable solutions, farmer training, and supportive policies. This research contributes to sustainable farming practices that can help address food shortages while protecting the environment.

AI and IoT for Precision Agriculture: A Sustainable Approach for Crop Monitoring and Resource Management

"AI and IoT for Precision Agriculture: A Sustainable Approach for Crop Monitoring and Resource Management", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.432-438, May-2025, Available :http://www.jetir.org/papers/JETIRGV06064.pdf

"AI and IoT for Precision Agriculture: A Sustainable Approach for Crop Monitoring and Resource Management", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. pp432-438, May-2025, Available at : http://www.jetir.org/papers/JETIRGV06064.pdf