TOMATO LEAF DISEASE DETECTION WITH USING CNN

Abstract

This system detects crop leaf diseases through image analysis, enabling early identification to enhance agricultural productivity. Given that nearly half of India’s population depends on farming, protecting crops from disease is vital for farmers’ livelihoods. To address this, a robot equipped with image processing and machine learning capabilities is deployed. The robot uses a CNN-based model trained with feature extraction and segmentation techniques to identify leaf diseases. An Android application controls the robot’s operations, providing a user-friendly interface for remote monitoring and management, ultimately supporting healthier crop yields.