Machine Learning Based Smart Drone System for Spraying Pesticides

Abstract

This project introduces a smart drone system designed to spray pesticides selectively, targeting only affected plants or those specified by the user through an intuitive user interface. Leveraging machine learning (ML) and real-time image analysis, the drone identifies plant conditions—such as diseases or stress—and applies pesticides with precision. Users upload images or specify plant conditions via the interface, and the system recommends suitable pesticides based on the diagnosed issues. By focusing on affected areas, this approach minimizes pesticide use, reduces environmental impact, and ensures healthier crop management. This innovative solution combines technology and sustainability, advancing modern agricultural practices.