1. A method for execution by one or more processing modules of one or more computing devices affiliated with agriculture equipment, the method comprising: collecting, by the agriculture equipment, current on-site gathered agriculture data regarding an agriculture region; sending, by the agriculture equipment, at least a representation of the current on-site gathered agriculture data to a host device; wherein the host device performs an analysis function that includes historical agriculture data and performance of at least one of: a transformation operation executable by the one or more processing modules that encodes the agriculture data regarding the agriculture region and transforms a portion of the current on-site agriculture data to a corresponding planting pattern symbol, wherein the planting pattern symbol comprises a track planting pattern for one or more tracks of the agriculture region, an identification operation executable by the one or more processing modules that identifies an object associated with at least a portion of the current on-site agriculture data, wherein the object is detected by an object detection module operably coupled to a plurality of sensors associated with the host device and identified by an object identification module, a probability density generating operation executable by the one or more processing modules that generates a measurable parameter of density based on at least a portion of the current on-site agriculture data, a trend analysis operation executable by the one or more processing modules that analyzes estimates of a subset of at least a portion of the current on-site agriculture data, and generates an analysis summary based on at least a portion of the current on-site agriculture data and at least one performed operation; using the analysis summary to process, by the host device, at least one of the at least a representation of the current on-site gathered agriculture data, current off-site gathered agriculture data, historical on-site gathered agriculture data, historical off-site gathered agriculture data, and historical analysis of agriculture predictions regarding the agriculture region to produce a current agriculture prediction for the agriculture region; comparing the current agriculture prediction with actual agriculture results collected for the agriculture region to produce comparison data; based, at least in part, on the comparison data, determining an in-season course correction agriculture prediction for the agriculture region; generating, by the host device, an agriculture prescription regarding at least a portion of the agriculture region based on the current agriculture prediction and the in-season course correction agriculture prediction; sending, by the host device, the agriculture prescription to the agriculture equipment; in response to receiving the agriculture prescription, the agriculture equipment dispensing a volume of agriculture substance based on the agriculture prescription.