This research presents a hybrid deep learning framework combining MobileNet V2 with LSTM, GRU, and Bidirectional LSTM for classifying various potato diseases. The study explores the performance of different architectures to determine the optimal configuration for accurate disease categorization.
image-processing lstm gru stochastic-gradient-descent bidirectional-lstm mobilenet-v2 neural-network-architecture potato-disease-classification hybrid-deep-learning agricultural-disease-detection
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Updated
Aug 10, 2024 - Jupyter Notebook