The testing of a limited-data corn yield model for large-area corn yield prediction ( Illinois).
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A general philosophy of examining models used in agriculture is outlined in 4 steps: the examination of the assumptions of the model; sensitivity analysis; tests of reasonableness using available data; and designing of an experiment to rigorously test a model. This philosophy is applied to a regression model developed by Leeper et al (1974) to predict corn yields in Illinois.-from Authors