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A Machine-Learning Model Based on the Fusion of Spectral and Textural Features from UAV Multi-Sensors to Analyse the Total Nitrogen Content in Winter Wheat

Timely and accurate monitoring of the nitrogen levels in winter wheat can reveal its nutritional status and facilitate informed field management decisions. Machine learning methods can improve total nitrogen content (TNC) prediction accuracy by fusing spectral and texture features from UAV-based ima...

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Principais autores: Zongpeng Li, Xinguo Zhou, Qian Cheng, Shuaipeng Fei, Zhen Chen
格式: Artigo
語言:Inglês
出版: MDPI AG 2023-04-01
叢編:Remote Sensing
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在線閱讀:https://www.mdpi.com/2072-4292/15/8/2152
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