• Gouri D Malgi
• D Tejaswani
• Dweep Sharma
• Khushi Singh
• Jyothi

This project is driven by the imperative need to address a critical challenge faced by farmers worldwide: Leaf disease. This project outlines the development of a comprehensive solution for precision agriculture aimed at enhancing crop health management through drone-based leaf disease detection and classification and pesticide spraying. Leveraging advanced imaging technology and machine learning algorithms, our system enables real-time identification of leaf diseases. By integrating with pesticide spraying systems, our solution offers precise treatment, minimizing environmental impact and optimizing resource utilization. Additionally, considerations such as cost-effectiveness, scalability, and user-friendliness are addressed to ensure practical feasibility and adoption by farmers and agricultural stakeholders. Through the integration of drone technology, machine learning, and precision agriculture techniques, this project showcases a promising solution for combating leaf diseases and optimizing pesticide application in crop management, ultimately contributing to increased crop yields, reduced environmental impact, and enhanced food security.

Drone, Leaf disease detection, Pesticides spraying, Machine learning, Crop management, Food security

"PRECISON AGRICULTURE DRONE EQUIPPED WITH IMAGE ANALYSIS ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.277-282, May-2024, Available :http://www.jetir.org/papers/JETIRGG06044.pdf

"PRECISON AGRICULTURE DRONE EQUIPPED WITH IMAGE ANALYSIS ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. pp277-282, May-2024, Available at : http://www.jetir.org/papers/JETIRGG06044.pdf