• Lokesh Pagare
• Sayee Papade
• Ojal Gupta
• Labhesh Pahade
• Mihir Mohite

This research paper introduces a new solution to precision agriculture via an AI-enabled autonomous agricultural rover system. There is great potential with the fusion of artificial intelligence, Internet of Things (IoT), and robotics technologies, as an overall solution to problems centered around real-time crop monitoring and disease identification. As the global AI in agriculture market is projected to be in line with a forecast of $9.32 billion by 2033 (Straits Research, 2025), this research targets imperatives in modern farming while providing viable, scalable, and low-cost opportunities for agricultural automation. Our system provides a platform to improve efficiency for crop monitoring, accuracy for disease detection, and optimize resources, which are vastly beneficial for furthering sustainable agriculture practices.

Precision agriculture, AI rover, disease detection, smart farming, IoT in agriculture, autonomous systems, deep learning in agriculture.

"AI-Enabled Autonomous Agricultural Rover for Smart Farming with Real-Time Monitoring and Disease Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 11, page no.e781-e786, November-2025, Available :http://www.jetir.org/papers/JETIR2511498.pdf

"AI-Enabled Autonomous Agricultural Rover for Smart Farming with Real-Time Monitoring and Disease Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 11, page no. ppe781-e786, November-2025, Available at : http://www.jetir.org/papers/JETIR2511498.pdf