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The paper discusses the application of deep learning techniques, specifically MobileNet and ResNet, for detecting rice leaf diseases in the Mekong Delta, a crucial rice-producing region in Vietnam. Using an image dataset of three common diseases—leaf smut, brown spot, and bacterial leaf blight—the study identifies the MobileNetV3-Small model as the most effective for accurate and fast disease detection. The findings highlight the potential of AI in enhancing agricultural practices and supporting farmers in
- Author
- konguvinh
- Language
- EN