A method for execution by one or more processing modules of one or more computing devices affiliated with agriculture equipment, the method comprises: 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; processing, by the host device, one or more 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; generating, by the host device, an agriculture prescription regarding at least a portion of the agriculture region based on the current agriculture prediction by establishing a) a speed pattern for one of the agricultural equipment while traversing at least a portion of the agriculture region, wherein the optimal speed identified by the speed pattern correlates to improved crop yield optimization; or b) a crop planting orientation pattern for one of the agricultural equipment while traversing at least a portion of the agriculture region, wherein the optimal direction identified by the orientation pattern correlates to improved crop yield optimization; or c) a crop planting distribution pattern for one of the agriculture equipment while traversing a portion of the agriculture region, wherein the optimal plant distribution pattern identified by said distribution pattern correlates to improved crop yield optimization;; for a given snapshot of an agricultural season comparing, by the host device, the current agriculture prediction with actual agriculture results collected for the agriculture region to produce comparison data; based on the comparison data, determining by the host device an in-season course correction agriculture prediction for the agriculture region; sending, by the host device, the in-season course correction agriculture prescription to the agriculture equipment; and execute, by the agriculture equipment, at least a portion of the agriculture prescription. 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; processing, by the host device, one or more 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; generating, by the host device, an agriculture prescription regarding at least a portion of the agriculture region based on the current agriculture prediction by establishing a) a speed pattern for one of the agricultural equipment while traversing at least a portion of the agriculture region, wherein the optimal speed identified by the speed pattern correlates to improved crop yield optimization; or b) a crop planting orientation pattern for one of the agricultural equipment while traversing at least a portion of the agriculture region, wherein the optimal direction identified by the orientation pattern correlates to improved crop yield optimization; or c) a crop planting distribution pattern for one of the agriculture equipment while traversing a portion of the agriculture region, wherein the optimal plant distribution pattern identified by said distribution pattern correlates to improved crop yield optimization;; a) a speed pattern for one of the agricultural equipment while traversing at least a portion of the agriculture region, wherein the optimal speed identified by the speed pattern correlates to improved crop yield optimization; or b) a crop planting orientation pattern for one of the agricultural equipment while traversing at least a portion of the agriculture region, wherein the optimal direction identified by the orientation pattern correlates to improved crop yield optimization; or c) a crop planting distribution pattern for one of the agriculture equipment while traversing a portion of the agriculture region, wherein the optimal plant distribution pattern identified by said distribution pattern correlates to improved crop yield optimization;; for a given snapshot of an agricultural season comparing, by the host device, the current agriculture prediction with actual agriculture results collected for the agriculture region to produce comparison data; based on the comparison data, determining by the host device an in-season course correction agriculture prediction for the agriculture region; sending, by the host device, the in-season course correction agriculture prescription to the agriculture equipment; and execute, by the agriculture equipment, at least a portion of the agriculture prescription.