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 were 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 had 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 Heilongjiangs corn industry.
Maize yield meteorological factors orthogonal polynomials fisher integral regression Heilongjiang
Seng Shanshan Zhang Yongen Yu Wen Xu Shiwei
Agricultural Information Institute,Chinese Academy of Agricultural,Beijing 100081,China;Key Laboratory of Agri-information Service Technology,Ministry of Agriculture,Beijing 100081,China;Beijing Engineering Research Center for Agricultural Monitoring and Early Warning,Beijing 100081,China
国际会议
西安
英文
328-336
2018-09-21（万方平台首次上网日期，不代表论文的发表时间）