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Topic: "agricultural-disease-detection"

Avalon-S/MobileNetV3-CA

This repository contains the code of paper(Improved lightweight identification of agricultural diseases based on MobileNetV3)

Language: Jupyter Notebook - Size: 87.9 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

fatemafaria142/Classification-of-Potato-Disease-A-Hybrid-Deep-Learning-Framework

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.

Language: Jupyter Notebook - Size: 664 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 1

Related Topics
computer-vision 1 edge-computing 1 image-classification 1 jetson-nano 1 bidirectional-lstm 1 gru 1 hybrid-deep-learning 1 image-processing 1 lstm 1 mobilenet-v2 1 neural-network-architecture 1 potato-disease-classification 1 stochastic-gradient-descent 1