基于决策森林的农业气象灾害预警方法

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中图分类号：S42 文献标志码：A 文章编号：2096-9902（2025）19-0052-0

Abstract：Agriculturalproductionisgreatlyafectedbymeteorologicaldisasters.Accuratemeteorologicaldisasterwarningsare crucialforreducingloses.Thisstudyproposesanearlywarningmethodforagriculturalmeteorologicaldisastersbasedon decisionforestsBycoltingmeteorologicaldataicludingtmprature，preciiationwindspeed，asellasgiculturalelated datasuchascroptypesandgrowthstages，adecisionforestmodelisconstructed.Thismodelcandeeplyminefeaturesof data andaccuratelyidentifytheocurrencepatersofmeteorologicaldisasterssuchasdrought，flodandfrost.Inmodelvalidation comparedwithtraditionalearlywarningmethods，theearlywarningbasedondecisionforesthassignificantlyimprovedinterms ofacuracyandrecallrate.Tisresearchprovidesanewapproachthatisefcientaccurateandhasgoodgeneralizationability fortheearlywaringofagriculturalmeteorologicaldisasters，whichisconducivetoagriculturalproducerstakingcountereasures in advance and ensuring the stable development of agricultural production.

Keywords：meteorological disasterearlywarning；decision-making forestmodel;eficientandacurate;ensuringagricultural production； machine learning

农业在国民经济中占据着举足轻重的地位，然而，农业生产却极易受到气象灾害的影响。（剩余7108字）