农田小气候是直接影响农作物病虫发生、消长及为害的重要条件。它既受大气候条件的影响和作用,同时又由于土壤类型、作物种类及农事、农艺方式的不同,有别于大气候的变化规律,有其自身的特殊性和复杂性。因此,对农田小气候指标,以人工方式进行比较客观的观测十分困难。长期以来,在病虫的预测预报和规律研究中,不得不以气象台(站)的大气观测的气象资料数据为间接的分析依据,导致分析过程复杂化,其结果往往使预报分析出现较大偏差,严重影响了预报的准确 Cropland microclimate is a direct impact on crop pest occurrence, growth and damage an important condition. It is not only affected by the conditions of the meteorological and the role of the same time, but also because of the type of soil, crop and agricultural, agronomic different from the changing laws of the climate, with its own particularity and complexity. Therefore, it is very difficult to conduct objective and objective observation on crop microclimate indices by artificial means. For a long time, in the prediction and prediction of pests and diseases, meteorological data of meteorological stations (stations) have to be used as indirect analysis basis to complicate the analysis process. As a result, large deviation , Seriously affecting the accuracy of the forecast