A PRELIMINARY STUDY ON THE TRUE-TIME INTEGRAL REGRESSION MODEL FOR FORECASTING THE YIELDS OF WINTER WHEAT USING THE SOIL TEMPERATURE

In this paper,the relationships between the yields of winter wheat (as an example) in Hebei Province of China and the soil temperature in various depths (0,5,10,20cm) were analysed. Based on this,author proposed a ture-time integral regression model for forecasting the yields of winter wheat using the soil temperatures which were obtained from corresponding observation data and has made an experimental forecast.