Revolutionizing Agriculture: Innovating an Autonomous Robot for Early Plant Disease Detection

Abstract

The goal of the research is to assist farmers in early plant disease detection utilizing an autonomous mobile robotic device. Through an Android mobile app, the robot compares and recognizes particular diseases using machine learning algorithms. Using a line follower mechanism and GPS coordinates, the automation system enables the robot to move along specified lines in the agricultural field. The motor control unit regulates the robot's speed. A Raspberry Pi microcontroller, which also makes picture capturing and cloud storage monitoring possible, is used to integrate the components. The app that will display the discovered ailment is created using Android Studio once the robot's path tracking is implemented using MATLAB coding