Crop disease detection using novel cnn

This research focuses on employing convolutional neural networks (CNNs) for automating plant disease detection. A comprehensive survey of existing deep learning methods is conducted to identify gaps and propose model enhancements. A detailed methodology outlines dataset sources, training strategies, and achieved accuracies. Experimental results highlight model performance and efficiency compared to other methods, with implications for practical use. An Android application integrating...