A computer implemented method comprising: receiving, at an agricultural computer system, one or more field health imagery maps for a particular agronomic field, the one or more field health imagery maps, comprising spatial maps of vegetative index values for the agronomic field indicative of a crop and derived from imagery of the agronomic field; receiving, at the agricultural computer system, data describing a total harvested mass of the crop on the particular agronomic field; breaking up the field in a number of locations computing an average yield per location for the particular agronomic field basedon a division of the total harvested mass of the crop by the number of locations; generating a spatial distribution of agronomic yield based, at least in part, on the average yield per location and the one or more field health imagery maps indicative of the vegetative index values per location, wherein the agronomic yield per location is computed according to the equation: y = Y. x x ̅ wherein Y is the average yield, x is the vegetative index value at the location, and x is the average of the vegetative index values across the field health imagery map; generating a yield map using the spatial distribution of agronomic yield and causing display of the yield map on a field manager computing device; using the yield map as an input into a digital model of crop growth or a digital model of agronomic yield; or using the yield map as an input into a digital model for generating a planting prescription for a future year. receiving, at an agricultural computer system, one or more field health imagery maps for a particular agronomic field, the one or more field health imagery maps, comprising spatial maps of vegetative index values for the agronomic field indicative of a crop and derived from imagery of the agronomic field; receiving, at the agricultural computer system, data describing a total harvested mass of the crop on the particular agronomic field; breaking up the field in a number of locations computing an average yield per location for the particular agronomic field basedon a division of the total harvested mass of the crop by the number of locations; generating a spatial distribution of agronomic yield based, at least in part, on the average yield per location and the one or more field health imagery maps indicative of the vegetative index values per location, wherein the agronomic yield per location is computed according to the equation: y = Y. x x ̅ wherein Y is the average yield, x is the vegetative index value at the location, and x is the average of the vegetative index values across the field health imagery map; generating a yield map using the spatial distribution of agronomic yield and causing display of the yield map on a field manager computing device; using the yield map as an input into a digital model of crop growth or a digital model of agronomic yield; or using the yield map as an input into a digital model for generating a planting prescription for a future year. wherein Y is the average yield, x is the vegetative index value at the location, and x is the average of the vegetative index values across the field health imagery map; generating a yield map using the spatial distribution of agronomic yield and causing display of the yield map on a field manager computing device; using the yield map as an input into a digital model of crop growth or a digital model of agronomic yield; or using the yield map as an input into a digital model for generating a planting prescription for a future year.