IMPROVING DIGITAL NUTRIENT MODELS USING SPATIALLY DISTRIBUTED VALUES UNIQUE TO AN AGRONOMIC FIELD

摘要

In an embodiment, an agricultural intelligence receives agronomic field data for an agronomic field, comprising one or more input parameters, nutrient application values, and measured yield values. The system uses a digital model of crop growth to compute, for a plurality of locations on the field, a required nutrient value indicating a required amount of nutrient to produce the measured yield values. The system identifies a subset of the plurality of locations where the computed required nutrient value is greater than the nutrient application value and computes, for each location, a residual value comprising a difference between the required nutrient value and the nutrient application value. The system generates a residual map comprising the residual values. Using the residual map and the one or more input parameters for each of the plurality of locations, the system generates and stores model correction data for the agronomic field.