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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| Asıl Yazarlar: | , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
KeAi Communications Co., Ltd.
2023-09-01
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| Seri Bilgileri: | Artificial Intelligence in Agriculture |
| Konular: | |
| Online Erişim: | http://www.sciencedirect.com/science/article/pii/S2589721723000284 |
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