Abstract: A yield model generates a yield map for an agricultural field. A measurement system generates measured indicators that are a measurement or quantification of crop yield in the agricultural field. An observation system generates observed indicators that are spatial agricultural datasets describing observed characteristics of the agricultural field. To generate the yield map, the yield model generates a field array representing the agricultural field. The yield model generates an input array and a yield array by mapping the observed indicators and measured indicators to cells of the field array, respectively. The yield model determines a yield value for each cell of the yield array not including a mapped indicator using information included in the corresponding cells of the input array. The yield model generates a yield map using the determined yield values and the yield values in the yield array.

Abstract: Embodiments relate to calibrating yield data points. A calibration system receives a plurality of groups of yield data points. Each group is associated with an attribute, such as, a machine identifier, a zone identifier, a localized zone identifier, and/or a moisture identifier. The system calculates a grand aggregate yield based on the yield data points of the plurality of groups. The system calculates a group aggregate yield based on yield data points of each group. The system subtracts the group aggregate yield from each yield data point of the group producing adjusted yield data points. The system adds the grand aggregate yield to each of the adjusted yield data points producing calibrated yield data points.

Abstract: A yield model generates a yield map for an agricultural field. A measurement system generates measured indicators that are a measurement or quantification of crop yield in the agricultural field. An observation system generates observed indicators that are spatial agricultural datasets describing observed characteristics of the agricultural field. To generate the yield map, the yield model generates a field array representing the agricultural field. The yield model generates an input array and a yield array by mapping the observed indicators and measured indicators to cells of the field array, respectively. The yield model determines a yield value for each cell of the yield array not including a mapped indicator using information included in the corresponding cells of the input array. The yield model generates a yield map using the determined yield values and the yield values in the yield array.

Abstract: Embodiments relate to calibrating yield data points. A calibration system receives a plurality of groups of yield data points. Each group is associated with an attribute, such as, a machine identifier, a zone identifier, a localized zone identifier, and/or a moisture identifier. The system calculates a grand aggregate yield based on the yield data points of the plurality of groups. The system calculates a group aggregate yield based on yield data points of each group. The system subtracts the group aggregate yield from each yield data point of the group producing adjusted yield data points. The system adds the grand aggregate yield to each of the adjusted yield data points producing calibrated yield data points.