A method for predicting the distribution of pest-infested plant rates in corn borer regions

Abstract

The invention provides a distribution prediction method for rate of plants affected by pests in a corn borer region. The method comprises the steps of obtaining key elements for predicting corn borer region distribution in a small region through aerial shooting of an unmanned aerial vehicle and artificial field survey, obtaining a corn borer source base number and the rate of the corn plants affected by the pests through the artificial field survey, and establishing a relevance function of the corn borer region distribution; and according to a corn borer hatching and development time axis, correcting a space distribution prediction model of corn borers by utilizing actually measured data of the rate of the corn plants affected by the pests. The space interpolation of the rate of the plants affected by the pests is performed by utilizing an optimal semi-variable function model obtained by fitting the rate of the plants affected by the pests to obtain a space distribution grade map of the rate of the plants affected by the pests. The shortcomings of ignoring of space relevance and incapability of predicting the corn borers in the small region in an existing analysis method are overcome.

Description

technical field [0001] The invention relates to the technical field of disease and insect pest control, more specifically, to a method for predicting the distribution of plant rates affected by insect pests in corn borer regions. Background technique [0002] Corn borer is the main pest of corn, which can reduce the yield of corn by 5%-10% in light occurrence years and more than 30% in severe occurrence years. The existing research on corn borer basically stays at the county level or larger areas, which cannot meet the requirements of on-demand Trichogramma and variable spraying of chemicals in small areas (such as fields), which will cause serious waste of chemicals and environmental pollution. For large-scale and small-scale research and application, the temporal and spatial distribution characteristics of corn borer should be clarified first. This demand for precise prevention and control is becoming increasingly urgent as China proposes to achieve the goal of reducing ...

AI Technical Summary

Problems solved by technology

However, there are few studies on how to quickly reflect the spatial distribution in a small area and provide references for variable control through the investigation of the pest-infested plant rate.

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