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The Fisher integral model and Chebyshev orthogonal polynomials were used to analyze the Model coefficient between meteorological factors (temperature, precipitation, and sunshine hours) and the peanut yield in Hebei province. The data used in the model was collected from 20 meteorological stations and the National Bureau of Statistics of China from 1980 to 2012 in Hebei. We found the following results: 1) the relationship between precipitation and peanut meteorological yield was positive in June and was negative in May and July. The peanut meteorological yield is expected to increase by 3.65kg/ha with 1mm increase of precipitation in June; 2) the relationship between temperature and peanut meteorological yield was positive in June and was negative in May and July. In June, the peanut meteorological yield is expected to increase by 1.52kg with 1 o C increase in temperature; 3) sunshine hours and peanut meteorological yield shows a positive relationship in May, July, and September. The peanut meteo­rological yield is expected to increase by 2.51kg, 2.44kg and 5.11kg with an hour increase in sunshine in these months. Based on these relationships, the model in this study stands as a guide to improve peanut production and forecast peanut yield for the near future.

Application of Modified Fisher Integral Model on the Influence of Meteorological Factors on Peanut Yield in Hebei of China