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- W3005451014 abstract "Leaf area index (LAI) is an important parameter to evaluate crop growth and crop yield. The purpose of this study is: using grey relational analysis (GRA) to calculate the typical spectral vegetation index (VI) and LAI correlation, choice the sensitive vegetation index to leaf area index in winter wheat, called GVI; the application of correlation analysis to screen the LAI sensitive vegetation index, called CVI. Then the partial least squares (PLS) method is used to estimate the LAI of GVI and CVI respectively, and the method of determining the optimal VI is determined. The results show that grey relational analysis can improve the estimation accuracy of LAI in winter wheat." @default.
- W3005451014 created "2020-02-14" @default.
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- W3005451014 date "2020-01-01" @default.
- W3005451014 modified "2023-10-01" @default.
- W3005451014 title "Filtrate Estimating Factor of Wheat LAI Based on Hyperspectral Data Using Grey Relational Analysis" @default.
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- W3005451014 doi "https://doi.org/10.1007/978-981-15-1468-5_30" @default.
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