Construction and application of wheat mature period continuous cloudy rain spike germination mildew degree grading model

Abstract

The invention discloses construction and application of a wheat mature period continuous cloudy and rainy ear germination mildew degree grading model. According to the method, meteorological and multi-source satellite remote sensing data are comprehensively applied, the Spearman method is used for screening key factors with relatively high correlation with the wheat pre-harvest sprouting mildew index, and finally the random forest classifier is used for constructing the pre-harvest sprouting mildew grading model, so that grading evaluation of wheat pre-harvest sprouting mildew during the continuous rainy period is realized. According to the technical scheme, the evaluation fineness and accuracy are improved, the operability of the result is remarkably enhanced, and powerful technical support is provided for the fields of disaster relief and loss reduction, disaster situation evaluation, scientific research, agricultural insurance and the like.

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