Staged five-day-interval cotton aphid emergence grade forecasting method

Abstract

The invention discloses a staged five-day-interval cotton aphid emergence grade forecasting method and belongs to the field of prevention and treatment of agricultural insects. The method disclosed by the invention comprises the following steps: counting the stage characteristics of cotton aphid emergence according to a cotton aphid emergence grade based on the history meteorological data (temperature and humidity) and the cotton aphid emergence grade of former years; regressing a temperature to humidity ratio and the cotton aphid emergence grade in each stage and finding out the internal function relationship so as to predict the cotton aphid emergence grade. The method disclosed by the invention has the advantage of remedying the shortcoming of large time scale of an existing cotton aphid emergence grade forecasting model, can be used for rapidly and accurately predicting the cotton aphid emergence grade by just utilizing the meteorological conditions such as temperature and humidity, is good in forecasting effect, and is beneficial for scientific prevention of cotton aphids, providing the basis for scientific strategy of relevant departments and providing guarantee for cotton production.

Description

technical field [0001] The invention belongs to the field of agricultural pest control, and in particular relates to a method for forecasting the occurrence level of cotton aphids in stages at intervals of 5 days. Background technique [0002] Cotton aphid is a worldwide pest. It mainly causes harm by sucking plant juice and spreading viruses. It has the characteristics of wide hosts, many generations, large numbers, and strong drug resistance. Once a large-scale outbreak occurs, it will seriously affect cotton production. The occurrence of cotton aphids is seasonal, explosive and migratory. How to grasp and control the occurrence of cotton aphids and quickly carry out prevention and control has become a practical problem in the process of cotton planting. [0003] Many scholars have made a lot of predictions on the occurrence of cotton aphids, but there are few quantitative prediction models. In addition, studies on the dynamic growth of cotton aphid populations have shown...

AI Technical Summary

Problems solved by technology

The present invention aims at the problem that the time scale for predicting the occurrence degree of cotton aphids in the prior art is relatively large, and on the basis of the investigation of the occurrence of cotton aphids, combined with meteorological data, a kind of occurrence level of cotton aphids with intervals of 5 days is developed. Forecasting method, combined with the actual situation of the current cotton aphid investigation and prediction, quickly and accurately realize the prediction of the occurrence level of cotton aphid

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