Test and analysis method of red spider insect pest coercion conditions of orange trees

Abstract

The invention discloses a test and analysis method of red spider insect pest coercion conditions of orange trees. The method comprises the following steps of: (1) selecting a plurality of healthy orange tree leaf samples and orange tree red spider leaf samples; (2) collecting hyperspectral images of the orange tree leaf samples; (3) measuring the chlorophyll and carotenoid contents of the orange tree leaf samples; (4) pre-treating the collected hyperspectral images; (5) further denoising the pretreated hyperspectral images; (6) extracting the characteristic wave bands of the denoised hyperspectral images; (7) creating a detecting model through the extracted characteristic wave bands, picking out the optimal wave band combination by gradual regression analysis, and determining the quantitative relation of the optimal wave band combination and the chlorophyll and carotenoid contents; and (8) detecting the chlorophyll and carotenoid contents of the orange tree leaves through the created model so as to predict the red spider insect pest coercion conditions of the orange tree. The test and analysis method disclosed by the invention is used for predicting the red spider insect pest coercion conditions of the orange tree by creating the model and has the advantages of being unartificial and harmless.

Description

technical field [0001] The invention relates to a detection method for citrus spider mite plant pests, in particular to a method for testing and analyzing the stress of citrus red spider pests, and belongs to the field of spectral non-destructive detection of plant biochemical components. Background technique [0002] my country is one of the important origins of citrus, rich in citrus resources, widely planted in provinces at 20°-33° north latitude, and there are many fine varieties. Citrus spider mite is a very serious harmful mite on citrus, mainly distributed in Guangdong, Zhejiang, Fujian and other regions. The leaves that are persecuted by spider mites will have certain changes in the physical characteristics and physiological structure of the leaves. At present, the detection of citrus red spiders is mainly done manually and with simple tools, or by destructive methods such as biochemistry. [0003] However, the above-mentioned technologies all have shortcomings suc...

AI Technical Summary

Problems solved by technology

At present, hyperspectral technology has been widely used in various aspects of agricultural research. Although there have been researches on the prediction of plant chlorophyll content by hyperspectral technology, the models built have certain limitations in the scope of application, and there is no specific application of hyperspectral technology in the field of agriculture. Applied research on the prediction of citrus spider mite pest stress

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