Abstract: Inaccurate agronomic data may be identified and corrected by obtaining agronomic data indicating areas of sub-regions of a farmable region and value for the sub-regions, wherein the value for each sub-region includes an aggregate value of an agronomic parameter for the sub-region and/or a ratio of the aggregate value to the area of the sub-region; identifying a part of a first sub-region that overlaps a part of a second sub-region; determining whether the second sub-region is associated with a first pass or a second pass by a sensor through the overlapping parts; and if the second sub-region is associated with the second pass, determining an adjusted value for the second sub-region based on the value for the first sub-region, the value for the second sub-region, the area of the first sub-region, the area of the second sub-region, and/or an area of the overlapping parts.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for using remote sensing data to infer agronomic inputs to an agronomic simulation model.

Abstract: A method may include obtaining data indicative of multiple agronomic scenarios, the data for each agronomic scenario including a hypothetical value for each of one or more agronomic inputs, in which the data for each of the agronomic scenarios is distinct from the data for each other one of the agronomic scenarios. The method may further include, for each of the multiple agronomic scenarios: predicting a predicted value for an agronomic output of a farmable region based on (i) the hypothetical value for each of the one or more agronomic inputs for the agronomic scenario and (ii) a measured value for each of at least one agronomic input of the farmable region. The method may further include generating a distribution of the predicted values for the agronomic output across the multiple agronomic scenarios.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for using remote sensing data to infer agronomic inputs to an agronomic simulation model.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for improving inputs to an agronomic simulation model by learning farmable zones.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining and improving agronomic characteristics.