Corn yield prediction model uses simple measurements at a specific growth stage

The ability to predict corn yields would benefit farmers as they plan the sale of their crops and biofuel industries as they plan their operations. A new study published in the July-August issue of Agronomy Journal describes a robust model that uses easily obtained measurements, such as plant morphology and precipitation, collected specifically at the silking growth stage of the plant. The new model could help both growers and industry maximize their profits and efficiency.

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