Wheat leaf equivalent water thickness hyperspectral monitoring method

Abstract

The invention discloses a wheat leaf equivalent water thickness hyperspectral monitoring method. The wheat leaf equivalent water thickness hyperspectral monitoring method is characterized in that a new triple-band spectral index based on double-band indexes is constructed based on field tests of wheat varieties of different ecological points, different nitrogen application levels, different moisture treatments, different growth seasons and different years, and a wheat equivalent water thickness hyperspectral monitoring model based on the novel triple-band spectral index is established. The wheat leaf equivalent water thickness hyperspectral monitoring method provided by the invention has the advantages that through field tests of different nitrogen, moistures, years and growth seasons, the wheat LEWT sensitivity wave band range and the optimal spectral index are determined and monitored and a ration monitoring model is constructed; the model has high universality, mechanism property and accuracy property and has moisture sensitivity and nitrogen insensitiveness; the method provided by the invention has the advantages of being simple, convenient in operation, rapid, accurate and undamaged, and providing a theory foundation and technology support for wheat moisture monitoring and accurate irrigation under different nitrogen conditions.

Description

technical field [0001] The invention belongs to the field of non-destructive monitoring of crop life information in precision agriculture, and relates to a hyperspectral monitoring method of equivalent water thickness of wheat leaves, in particular to researching a hyperspectral monitoring method and monitoring model of equivalent water thickness of wheat leaves under different water and nitrogen conditions. Background technique [0002] Water and nitrogen are the main limiting factors for the formation of crop growth, yield and quality. Their effects run through the life of the plant, and there is a complex interaction between the two. Studies have shown that there is a strong correlation between the biochemical components in plants , in which water and nitrogen are indirectly related through the effects of chlorophyll and lignin, and the specific correlation is water Chlorophyll nitrogen, water lignin Therefore, in actual production, it is necessary to consider how ...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a hyperspectral monitoring method for the equivalent water thickness of wheat leaves, aiming to solve the problem that the existing three-band spectral vegetation index is mostly used to monitor physiological parameters such as pigments, and lacks three-band vegetation for the equivalent water thickness of wheat leaves. index, and the determination of the core band of the vegetation index is mostly based on the prior knowledge of monitoring different physiological and biochemical parameters, and no general quantitative analysis method has been found yet.

Images