A deep learning project to classify rice leaf diseases from images using Convolutional Neural Networks (CNN). Built as part of my personal learning journey in computer vision and machine learning.

This project focuses on identifying rice leaf diseases using image-based machine learning techniques. Rice is a staple crop, and early disease detection helps farmers reduce crop loss and improve ...

Abstract: This work proposes a hybrid classification model using CNN–Random Forest for the six banana leaf diseases from the 12,825 image dataset. The model is trained and tested against the classes ...

Abstract: Bacterial leaf blight in rice which is produced by the Xanthomonas oryzae pv. oryzae, infects rice leaf causing the water-soaked spots on them which in turn minimize photosynthesis and thus ...