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...
| 出版年: | Artificial Intelligence in Agriculture |
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| 主要な著者: | , , , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
KeAi Communications Co., Ltd.
2023-09-01
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| 主題: | |
| オンライン・アクセス: | http://www.sciencedirect.com/science/article/pii/S2589721723000284 |
