Rice disease identification method based on improved CNN-BiGRU

Rice disease identification method based on improved CNN-BiGRU

In the field of precision agriculture, diagnosing rice diseases from images remains challenging due to high error rates, multiple influencing factors, and unstable conditions. While machine learning and convolutional neural networks have shown promising results in identifying rice diseases, they wer...

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Bibliographic Details
Main Authors: Yang Lu, Xiaoxiao Wu, Pengfei Liu, Hang Li, Wanting Liu
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2023-09-01
Series:Artificial Intelligence in Agriculture
Subjects:
Deep learning
CNN-BiGRU
Rice disease
Feature relationship
Online Access:http://www.sciencedirect.com/science/article/pii/S2589721723000284

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http://www.sciencedirect.com/science/article/pii/S2589721723000284

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