Forecast and Analysis on Winter Wheat Yield Based on Quotient Space Theory
Yanping Zhang · Computer Technology and Development · 2008
Puts forward analysis meteorological data and historical yield by granular computing methods.Firstly,based on the quotient space theory,the characteristic attributes can be gotten by the analysis of the historical data on light,temperature and precipitation.Secondly,the statistical algorithm makes the decision-making attributes by analyzing the historical yield data.The characteristic and decision-making attributes are combined to build the yield forecast model and forecast winter wheat yield by constructive machine learning methods.The experimental results show that using this method to forecast and analyse wheat yield is effective.