• Kalyani Sudhakar Sugarwar

Precision agriculture (PA) leverages artificial intelligence (AI) to optimize farming practices, increase productivity, and reduce environmental impact. By integrating AI-driven technologies such as machine learning, IoT, and predictive analytics, PA provides real-time insights for soil health monitoring, irrigation management, pest control, and crop yield prediction. This paper explores the methodologies, benefits, and challenges of implementing AI in PA, emphasizing its potential to transform global agriculture sustainably. Experimental results indicate significant improvements in resource efficiency and yield quality. The study also outlines future research directions to enhance the adaptability and scalability of AI solutions in agriculture.

Precision Agriculture, Artificial Intelligence, IoT, Machine Learning, Sustainable Farming, Predictive Analytics, Crop Monitoring, Resource Optimization.

"PRECISION AGRICULTURE USING ARTIFICIAL INTELLIGENCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 1, page no.e649-e651, January-2025, Available :http://www.jetir.org/papers/JETIR2501484.pdf

"PRECISION AGRICULTURE USING ARTIFICIAL INTELLIGENCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 1, page no. ppe649-e651, January-2025, Available at : http://www.jetir.org/papers/JETIR2501484.pdf