Use Maxent Statistics to Learn Models to Analyze the Sutiable Area of the Spodoptera Frugiperda in the Central and Eastern Yunnan Province

Abstract

This article employs the Maxent model to simulate the spread of Spodoptera frugiperda in the asutiable region of eastern and central China. The location of the research area is the Yunnan Plateau. Wenshan Prefecture, Qujing City, Honghe Prefecture, Kunming City, and Yuxi City are the five cities. The range of latitude and longitude is E101 °16’ ~ 106 °12’, N22 °26’~27 °03’. Spodoptera frugiperda is a dangerous agricultural insect that has infested India, Myanmar, Thailand, and other Asian nations, causing severe damage to grain harvests in these areas. The monitoring data for Spodoptera frugiperda used in this paper span the period from March 2021 to March 2022, and the environment and climatic data are provided to Maxent for the output of mixed simulation results. The region and the plains are Highly Suitable Area. The classification method of Maxent models incorporates linear regression, genetic algorithms, artificial intelligence approaches, Support Vector Machies, etc., and gives a variety of techniques for evaluating classification results. Consequently, a quick evaluation of Sutiable Area, a nocturnal moth in the area of internal grassland. To prevent further invasions of grain moths in grassland greedy moths, monitoring must be intensified within the area of its adaptive range in order to protect farmers' income and crop yield.