A Study of Estimation Model for the Chlorophyll Content of Wheat Leaf Based on Hyperspectral Imaging
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In order to explore the spectral features and sensitive wave band of wheat leaf, we establish a quantitative relationship model between wheat chlorophyll content and spectral features to promote the application of hyperspectral technology in precise wheat fertilization and fast, non-destructive growth monitoring. Using the relational analysis, we analyze the relationship between chlorophyll content and spectral reflectance or the first derivative, and establish the chlorophyll content monitoring model. By selection and verification, the best estimation models for wheat chlorophyll content are as follows: SPAD=36.75+188.168R387, SPAD=2094.242R’7153+112646.744 R’7152-1.561E7 R’715+42.991. The two models can well estimate the SPAD value of wheat leaf, and comparatively speaking, the SPAD estimation model based on wave band R387 has greater accuracy.