Plant Disease Detection by Image Processing
This approach leverages techniques such as image prepossessing, feature extraction, and machine learning algorithms to identify and classify diseases from leaf images to reduce crop loss and supports sustainable farming practices.
Abstract
Plant disease detection using image processing is a crucial step in ensuring agricultural productivity. This approach leverages techniques such as image prepossessing, feature extraction, and machine learning algorithms to identify and classify diseases from leaf images. By enabling early and accurate detection, the system helps reduce crop loss and supports sustainable farming practices. Key Words: Plant Disease Detection,Image Processing, Machine Learning,Deep Learning,Convolutional Neural Networks (CNN),Image Segmentation,Feature Extraction,Classification Algorithms,Plant Health Monitoring,Precision Agriculture,Real-time Detection,Disease Diagnosis,Crop Monitoring