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- W2383014781 abstract "[Objective] To obtain quantitative estimation model for rapid detection of leaf moisture content and chlorophyll content. [Method]With 88 pieces of Citrus sinensis leaf as the research object,leaf water content and chlorophyll content was measured by near infrared technique. Quantitative model was developed using partial least squares( PLS),principal component regression( PCR) and least squares support vector machine( LS-SVM),and six different pretreatment methods were used in spectra processing: SG,MSC,1st D,2nd D,SNV,Baseline with a full spectral wave number of 4 000-12 000 cm-1. [Result] The experimental results in leaf water content prediction model show that the prediction results had little difference with PLS,PCR and LS-SVM model,and the PLS model of leaf water content gave the best results with the correlation coefficient of 0. 985,the root mean square error of prediction of 0. 023. In the prediction model of the leaf chlorophyll content,there was a small difference among 3 kinds of models,and the best prediction model was processing spectra with LS-VSM after MSC pretreatment,with correlation coefficient of 0. 933,the root mean square error of prediction of 0. 23. [Conclusion] It shows that,application of near infrared spectroscopy for rapid detection of water content and chlorophyll content of Citrus sinensis leaves is feasible." @default.
- W2383014781 created "2016-06-24" @default.
- W2383014781 creator A5048566931 @default.
- W2383014781 date "2015-01-01" @default.
- W2383014781 modified "2023-09-23" @default.
- W2383014781 title "The Measurement of Moisture Content and Chlorophyll Content in the Leaves of Citrus sinensis( L. ) Osbeck by Near Infrared" @default.
- W2383014781 hasPublicationYear "2015" @default.
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