Can I read CNNs for Leaf Disease Classification on EtoBox?

CNNs for Leaf Disease Classification by Daya Brito is a document available to read on EtoBox.

What is CNNs for Leaf Disease Classification about?

The document discusses how different convolutional neural network architectures and dataset sizes impact the classification of diseased plant leaves. It explores five CNN models on a small dataset of healthy and diseased leaves, and performs preprocessing like brightness/contrast changes and data augmentation to increase the dataset. Preliminary results show that the ZFNet model achieves high accuracy, increasing by 10% after further training, making it suitable for identifying diseases with small datasets.

Author

Daya Brito

Language

EN