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Computer Simulation of Maize Yield by Fisher Integral Model Based on Meteorological Factors

In this paper, we use maize yield and meteorological data during the period of 1980-2015 in the Yilan County, Heilongjiang Province to study the impact of meteorological factors (rainfall, sunshine hours, temperature) on maize yield. Based on the computer simulation, Fisher integral model and Chebyshev orthogonal polynomials are used to analyze the coefficients between meteorological factors (temperature, precipitation and sunshine hours) and the maize yield so as to establish a mathematics model between the two. Through the coefficients between meteorological factors and maize yield during different periods, it is discovered that meteorological factors have a great effect on maize yield. By fitting degree of maize yield meteorological model, the maize yield can be predicted in an accurate way. It provides a theoretical basis for the information management of maize production in Heilongjiang Province based on the computer simulation. It is of great significance in providing scientific guidance for the sustainable development of Heilongjiang's corn industry.