AgriSense: Plant Disease Detection Model
This study focuses on the creation and use of AgriSense, a web-based tool for classifying and identifying plant diseases through the uploading of images, which uses a CNN model trained on a library of plant leaf images to identify healthy, powdery mildew, and rust-infected plant leaves.
Abstract
This study focusses on the creation and use of AgriSense, a web-based tool for classifying and identifying plant diseases through the uploading of images. The program uses a CNN model trained on a library of plant leaf images to identify healthy, powdery mildew, and rust-infected plant leaves. It is also equipped with features where users can send pictures in ZIP format containing several photos and get a health percentage of all the files. This solution will help farmers and agricultural professionals use the method of early disease detection and monitoring to prevent loss and improve crop yield quality. It then focuses on examining the current state of the system, its efficiency, and recommendations for further enhancement.