MULBERRY LEAVES DISEASES DETECTION AND CLASSFICATION

Abstract: The Mulberry Leaf Disease Detection and Classification System is an intelligent application developed to identify and classify diseases affecting mulberry leaves using Deep Learning techniques. Mulberry plants play a crucial role in the sericulture industry as they serve as the primary food source for silkworms. Diseases in mulberry leaves can significantly reduce leaf quality and silk production. This system uses image processing and Convolutional Neural Networks (CNNs) to analyze leaf images and accurately detect diseases at an early stage. The proposed solution helps farmers, agricultural experts, and researchers monitor plant health efficiently, reduce crop losses, and improve productivity. The application provides disease identification, classification, and treatment suggestions, making disease management faster and more reliable.

Keywords: Mulberry Leaf Disease Detection, Deep Learning, Convolutional Neural Network (CNN), Image Processing, Disease Classification, Agriculture, Plant Health Monitoring, Artificial Intelligence, Sericulture, Crop Protection.