Agronomic optimization based on statistical models

摘要

Generating a crop prescription using a computer coupled to a memory area includes receiving yield data for a plurality of crop population trials, wherein each trial is varied by at least one of a hybrid line, a population density, and a row spacing. At least one statistical model is generated based on the yield data to obtain a plurality of coefficients, which are stored in the memory area. A predicted yield for at least one selected hybrid line is determined based on the coefficients and a selected row spacing, and a predicted profit is determined for the at least one selected hybrid line based on the coefficients and the selected row spacing. A crop prescription is presented that includes a recommended hybrid line and population density for use by a grower.