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What is Cotton Leaf Disease Detection with DenseNet about?

This document presents research on developing a deep learning-based system for detecting cotton leaf diseases using DenseNet V3. The authors created a dataset of cotton leaf images with 4 classes - healthy leaves and 3 types of diseased leaves. They trained InceptionV3, DenseNet and MobileNetV2 models on the dataset. DenseNet achieved the best validation accuracy of 99.22%. The proposed system can accurately identify cotton leaf diseases, which will help farmers detect diseases early and increase crop produ

Author

Shoumik Muhtasim

Language

EN