SAM-ResNet50: A Deep Learning Model for the Identification and Classification of Drought Stress in the Seedling Stage of <i>Betula luminifera</i>
<i>Betula luminifera</i>, an indigenous hardwood tree in South China, possesses significant economic and ecological value. In view of the current severe drought situation, it is urgent to enhance this tree’s drought tolerance. However, traditional artificial methods fall short of meeting the demands...
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| Principais autores: | , , , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
MDPI AG
2024-11-01
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| Serija: | Remote Sensing |
| Teme: | |
| Online dostop: | https://www.mdpi.com/2072-4292/16/22/4141 |
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