SAM-ResNet50: A Deep Learning Model for the Identification and Classification of Drought Stress in the Seedling Stage of <i>Betula luminifera</i>

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...

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Bibliographic Details
Main Authors: Shiya Gao, Hao Liang, Dong Hu, Xiange Hu, Erpei Lin, Huahong Huang
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Remote Sensing
Subjects:
<i>Betula luminifera</i>
CNN
attention mechanism
drought stress
drought classification
Online Access:https://www.mdpi.com/2072-4292/16/22/4141
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