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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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Bibliografske podrobnosti
Principais autores: Shiya Gao, Hao Liang, Dong Hu, Xiange Hu, Erpei Lin, Huahong Huang
Format: Artigo
Jezik:Inglês
Izdano: MDPI AG 2024-11-01
Serija:Remote Sensing
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Online dostop:https://www.mdpi.com/2072-4292/16/22/4141
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