Forecasting corn yields: a comparison study using 1977 Missouri data
1979
House, C.C.
Extract: This paper compares two different approaches to forecasting corn yields. One approach involves the use of nonlinear regression techniques to fit growth data to a logistic model and requires the use of only current season data to produce biological grain yield forecasts. The other applies historically estimated linear regression parameters to current season data to calculate yield.
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