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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Bibliographic Details
Main Authors: Cheng Li, Xicun Zhu, Yu Wei, Shujing Cao, Xiaoyan Guo, Xinyang Yu, Chunyan Chang
Format: Article
Language:English
Published: Nature Publishing Group 2018-02-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-018-21963-0