广西林业科学2024，Vol.53Issue(1)：94-99,6.DOI:10.19692/j.issn.1006-1126.20240113
基于高光谱分析技术的桉树叶片黄化识别
Yellowing Identification in Eucalypt Leaves Based on Hyperspectral Analysis Technology
摘要
Abstract
Eucalypt yellowing disease is a relatively specific physiological disease,which has certain degree of suddenness and randomness.Timely detection and supplementation of nutrients could significantly reduce loss-es caused by the disease.Yellowing leaves(Chlorosis),non-diseased leaves(Chlorosis-Normal)and healthy leaves(Normal)of eucalypt were collected,and spectral characteristics of different leaves were determined by hyperspectral instrumentation.Discriminant analysis models were established based on PLS-DA and OPLS-DA methods,and discriminant effects were compared.Results showed that spectral reflection curves of different leaves showed the same trend,but reflection rates had obvious differences.Bands with significant differences were mainly reflected in near-infrared bands of 800-1 260,1 400-1 720 and 2 000-2 400 nm.Original spec-tral reflection rates of leaves affected by disease were significantly higher than those of normal leaves.Logarith-mic transformation could reduce redundancy of spectral data to a certain extent and highlight differences.Both linear discriminant analysis methods could identify potential yellowing leaves.Discriminant effect of Log-OPLS-DA was better with model R2 of 0.91 and RMSE of 0.203.Combination of hyperspectral analysis technol-ogy and OPLS-DA had certain potentials of prediction and determination for eucalypt yellowing leaves.关键词
高光谱/黄化叶片/无损检测/病虫害防治/桉树人工林Key words
hyperspectral/yellowing leaf/non-destructive testing/pest control/eucalypt plantation分类
农业科技引用本文复制引用
赵隽宇,石媛媛,杨瑞青,邓昀,程小辉,陈守学,曹继钊,唐健..基于高光谱分析技术的桉树叶片黄化识别[J].广西林业科学,2024,53(1):94-99,6.基金项目
中央财政林业科技推广示范项目([2021]TG18号) （[2021]TG18号）
中央引导地方科技发展资金项目(桂科ZY21195026) （桂科ZY21195026）
广西林业科技推广示范项目(桂林科研[2021]24号) （桂林科研[2021]24号）
