Estimating apple tree canopy chlorophyll content based on Sentinel-2A remote sensing imaging

Abstract The remote sensing technology provides a new means for the determination of chlorophyll content in apple trees that includes a rapid analysis, low cost and large monitoring area. The Back-Propagation Neural Network (BPNN) and the Supported Vector Machine Regression (SVMR) methods were both...

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Autores principales: Cheng Li, Xicun Zhu, Yu Wei, Shujing Cao, Xiaoyan Guo, Xinyang Yu, Chunyan Chang
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2018
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Acceso en línea:https://doaj.org/article/62648359130b42da98889557f67e25d5
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