中国农业科技导报2024，Vol.26Issue(8)：103-111,9.DOI:10.13304/j.nykjdb.2022.1051
基于光谱指数的棉花叶片叶绿素密度估算研究
Estimation of Chlorophyll Density of Cotton Leaves Based on Spectral Index
摘要
Abstract
To construct the estimation model of chlorophyll density,cotton pot experiments with different nitrogen applications were set up to obtain reflectance data by spectral testing of cotton leaves at peak flowering stage.At the same time,leaf samples were collected to determine chlorophyll density.The spectral index was constructed by reflectance data,and the spectral index with high correlation with chlorophyll density was selected.The random forest(RF)algorithm and partial least squares regression(PLSR)were used to construct the estimation model of chlorophyll density in cotton leaves and verify the accuracy.The results showed that the R2 of RF and PLSR estimation models were 0.723 5 and 0.704 7,respectively,and the RPD were 1.851 4 and 1.456 9,respectively,indicating that both models had rough prediction ability.The accuracy of RF model was higher than that of PLSR model,so it was feasible to use hyperspectral technology to estimate the chlorophyll density of cotton at peak flowering stage,which provided technical support for monitoring cotton population growth.关键词
棉花/叶绿素密度/光谱特征/高光谱Key words
cotton/chlorophyll density/spectral characteristics of cotton/hyperspectral estimation modeling分类
农业科技引用本文复制引用
李紫琴,王家强,李贞,邹德秋,张小功,罗霄玉,柳维扬..基于光谱指数的棉花叶片叶绿素密度估算研究[J].中国农业科技导报,2024,26(8):103-111,9.基金项目
新疆生产建设兵团科技创新人才计划项目(2022CB001-07) （2022CB001-07）
新疆生产建设兵团科技计划项目(2021DB019) （2021DB019）
研究生科研创新项目(XJ2022G243). （XJ2022G243）
