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分析了美国玉米、大豆、花生产量的统计特征，发现三种作物的气象产量都存在着准周期性的变化，玉米、大豆气象产量较好地遵从正态分布。根据需要，每年在３、５、１０月分别作出预测。第一次以统计预测方法为主；第二次以因子分析为主，通过分析气候、海温、大气环流的影响，对作物产量变化作出进一步的估计；第三次根据气象灾害、病虫害、种植面积、市场信息等因素的综合分析，最终作出市场预测。经过三年的使用，证明产量预测与市场预测相结合的方法是可行的，并收到了较好的经济效益
The statistical characteristics of the yield of corn, soybean and peanut in the United States were analyzed. The results showed that there was a quasi-periodic change in the weather output of the three crops, and the meteorological yield of corn and soybean better followed the normal distribution. According to the needs of each year in March, May and October make a forecast. The second is mainly based on factor analysis, and further analysis is made on crop yield changes by analyzing the effects of climate, sea surface temperature and atmospheric circulation; and the third time, according to meteorological disasters, pests and diseases, planting Area, market information and other factors, a comprehensive analysis of the final market forecast. After three years of use, it is feasible to prove the combination of production forecast and market forecast and receive good economic benefits