Mulberry pyralid larva based on visible and near-infrared hyperspectral imaging and rapid recognition method for damage of mulberry pyralid larva to mulberry leaves

Abstract

The invention discloses a mulberry pyralid larva based on visible and near-infrared hyperspectral imaging and a rapid recognition method for damage of mulberry pyralid larva to mulberry leaves. The method comprises the following steps: picking three kinds of mulberry leaves which are healthy, have larva damage and have larvae, acquiring visible and near-infrared hyperspectral imaging data, recognizing ROI (Return on Investment) of samples after image correction, and respectively obtaining five types of ROIs of leaf veins, healthy mesophyll, slightly damaged mesophyll, seriously damaged mesophyll and larvae; establishing partial least square discriminant analysis and least square support vector machine models. The successive projections algorithm, informative variable elimination, UVE-SPA (Uninformative Variable Elimination-Successive Projections Algorithm) and competitive adaptive re-weighted sampling are used for variable selection; the selected optimum model is a UVE-SPA-LS-SVM (Uninformative Variable Elimination-Successive Projections Algorithm-Least Square-Support Vector Machine) model based on visible range data and has a correct prediction rate value of 97.30%. The method disclosed by the invention can achieve effects of rapidly and nondestructively distinguishing mulberry pyralid larvae and damage degrees thereof to the mulberry leaves, providing high-quality mulberry leaves for silkworm raisers and improving the yield of silkworm and the quality of silk, and has an important popularization value on agriculture detection of plant diseases and insect pests.

Description

technical field [0001] The invention relates to the field of rapid identification methods for mulberry borer larvae and mulberry leaf damage, in particular to a rapid identification method for mulberry borer larvae and damage to mulberry leaves based on visible light and near-infrared hyperspectral imaging. Background technique [0002] Sericulture production in China has a history of thousands of years and has formed a complete industry with certain economic value. As one of the most important production materials of sericulture, mulberry leaves are the only source of feed for silkworms. The yield and quality of mulberry leaves directly restrict the development of sericulture. In 2017, the total area of ​​mulberry fields in China reached 7,887,300 hm2, an increase of 24.7% from 6,325,000 hm2 in 2000. In the past ten years, although the planted area of ​​mulberry trees has increased, the yield of mulberry leaves has suffered huge losses due to pests. Mulberry borer is a p...

AI Technical Summary

Problems solved by technology

However, so far, there are few reports on the rapid detection of mulberry borer and its damage to mulberry leaves based on HSI technology

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