Multi-Crop Disease Detection and Management Recommendation System Using Deep Learning

Abstract: Crop diseases are a major challenge in agriculture, as late or incorrect identification can cause crop damage and reduce productivity. Existing crop disease detection systems mainly focus on identifying diseases from plant leaf images, but provide limited support for disease management. This creates a gap between disease identification and practical management. The proposed Multi-Crop Disease Detection and Management Recommendation System Using Deep Learning addresses this gap by combining disease detection with management recommendations. The system uses deep learning and transfer learning models to classify crop diseases from leaf images. It provides chemical and organic management approaches based on the identified crop and disease. Thus, the system connects disease identification with suitable management practices, making it more useful for practical crop disease management.

Keywords: Crop Disease Detection, Deep Learning, Management Recommendation System, Multi-Crop Classification, Transfer Learning.