Research on Estimation Models of Chlorophyll Content in Apple Leaves Based on Imaging Hyperspectral Data

作     者：Luyan NIU Xiaoyan ZHANG Jiabo SUN Jiye ZHENG Fengyun WANG 

作者机构：Institute of Science and Technology InformationShandong Academy of Agricultural Sciences 

出 版 物：《Agricultural Biotechnology》 (农业生物技术（英文版）)

年 卷 期：2018年第7卷第5期

页      面：215-218,231页

学科分类：09[农学] 0903[农学-农业资源与环境] 090302[农学-植物营养学] 0902[农学-园艺学] 090201[农学-果树学] 

基　　金：Supported by Innovation Engineering Project of Shandong Academy of Agricultural Sciences(CXGC2017B04) Major Research and Development Plan Program of Shandong Province,China(2016CYJS03A01-1) 

主　　题：Hyperspectral data Apple Chlorophyll Spectral features Correlation 

摘      要：In view of the shortage of using traditional methods to monitor chlorophyll content, hyperspectral technology was used to estimate the chlorophyll content of apple leaves rapidly, accurately and non-destructively. Based on the data of hyperspectral reflectivity and SPAD value of normal apple leaves and the leaves under the stress of red spiders collected from the Wanjishan base in Tai an, the correlations of SPAD value with the original spectral reflectivity of apple leaves and its first derivative and between SPAD value and high spectral value were analyzed to select sensitive bands, and the estimation models of chlorophyll content in apple leaves based on hyperspectral reflectivity were established. The sensitive bands of chlorophyll content in normal apple leaves were 513-539, 564-585, 694, 699 and 720 nm , and the best estimation model of chlorophyll content was SPAD =152.450-1 884.851 R 377 . The sensitive bands of chlorophyll content in the leaves under the stress of red spiders were 961, 972 and 720 nm, and the best estimation model of chlorophyll content was SPAD =49.371-46 428.473 R 972.