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[Hyperspectral estimation models of chlorophyll content in apple leaves].
Liang, Shuang; Zhao, Geng-xing; Zhu, Xi-cun.
Affiliation
  • Liang S; College of Resources and Environment, Shandong Agricultural University, Tai'an 271018, China. liangshuang_3s@163.com
Guang Pu Xue Yu Guang Pu Fen Xi ; 32(5): 1367-70, 2012 May.
Article in Zh | MEDLINE | ID: mdl-22827091
ABSTRACT
The present study chose the apple orchard of Shandong Agricultural University as the study area to explore the method of apple leaf chlorophyll content estimation by hyperspectral analysis technology. Through analyzing the characteristics of apple leaves' hyperspectral curve, transforming the original spectral into first derivative, red edge position and leaf chlorophyll index (LCI) respectively, and making the correlation analysis and regression analysis of these variables with the chlorophyll content to establish the estimation models and test to select the high fitting precision models. Results showed that the fitting precision of the estimation model with variable of LCI and the estimation model with variable of the first derivative in the band of 521 and 523 nm was the highest. The coefficients of determination R2 were 0.845 and 0.839, the root mean square errors RMSE were 2.961 and 2.719, and the relative errors RE% were 4.71% and 4.70%, respectively. Therefore LCI and the first derivative are the important index for apple leaf chlorophyll content estimation. The models have positive significance to guide the production of apple cultivation.
Subject(s)
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Collection: 01-internacional Database: MEDLINE Main subject: Chlorophyll / Plant Leaves / Malus Type of study: Diagnostic_studies / Prognostic_studies Language: Zh Journal: Guang Pu Xue Yu Guang Pu Fen Xi Year: 2012 Document type: Article
Search on Google
Collection: 01-internacional Database: MEDLINE Main subject: Chlorophyll / Plant Leaves / Malus Type of study: Diagnostic_studies / Prognostic_studies Language: Zh Journal: Guang Pu Xue Yu Guang Pu Fen Xi Year: 2012 Document type: Article