Identifying Factors for Corn Yield Prediction Models and Evaluating Model Selection Methods
2005
Chang, J.Y. (South Dakota State University, Brookings, SD, USA), E-mail: [email protected] | Clay, David E. (South Dakota State University, Brookings, SD, USA)
Early predictions of crop yields call provide information to producers to take advantages of opportunities into market places, to assess national food security, and to provide early food shortage warning. The objectives of this study were to identify the most useful parameters for estimating yields and to compare two model selection methods for finding the 'best' model developed by multiple linear regression. This research was conducted in two 65 ha corn/soybean rotation fields located in east central South Dakota.
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