Abstract: A cloud-based system for integration of agricultural data with geolocation-based agricultural operations is provided. The system receives agricultural-related data associated with a given geographic area and transforms the received data into an analysis-ready format. The system processes the received data through one or more algorithms to determine at least one operation to be performed within the given geographic area. The system generates a set of instructions for execution of the at least one operation within the given geographic area as a function of geolocation, where the instructions are coded for direct use by a controller of a specified type of agricultural equipment. The system transmits the instructions over a wireless communication channel to the controller, where the instructions cause the controller to direct operation of the agricultural equipment to perform the at least one operation within the given geographic area as a function of geolocation in an automated manner.

Abstract: A data receiving module receives sampled agricultural-related data associated with a given geographic area. An analysis module processes the received sampled agricultural-related data to generate a sub-sampled raster of agricultural-related data over the given geographic area. The analysis module processes the sub-sampled raster of agricultural-related data to generate a final output raster of agricultural-related data over the given geographic area. The final output raster has a higher resolution than the sub-sampled raster. A geospatial data map generation module generates image data that when used to control a display of a remote subscriber computing device causes the display to show a geospatial data map based on the final output raster of agricultural-related data over the given geographic area. A communication module transmits instructions including the generated image data to the remote subscriber computing device to cause processing of the image data to display the geospatial data map on the display.

Abstract: A cloud-based system for integration of agricultural data with geolocation-based agricultural operations is provided. The system receives agricultural-related data associated with a given geographic area and transforms the received data into an analysis-ready format. The system processes the received data through one or more algorithms to determine at least one operation to be performed within the given geographic area. The system generates a set of instructions for execution of the at least one operation within the given geographic area as a function of geolocation, where the instructions are coded for direct use by a controller of a specified type of agricultural equipment. The system transmits the instructions over a wireless communication channel to the controller, where the instructions cause the controller to direct operation of the agricultural equipment to perform the at least one operation within the given geographic area as a function of geolocation in an automated manner.

Abstract: A cloud-based system for integration of agricultural data with geolocation-based agricultural operations is provided. The system receives agricultural-related data associated with a given geographic area and transforms the received data into an analysis-ready format. The system processes the received data through one or more algorithms to determine at least one operation to be performed within the given geographic area. The system generates a set of instructions for execution of the at least one operation within the given geographic area as a function of geolocation, where the instructions are coded for direct use by a controller of a specified type of agricultural equipment. The system transmits the instructions over a wireless communication channel to the controller, where the instructions cause the controller to direct operation of the agricultural equipment to perform the at least one operation within the given geographic area as a function of geolocation in an automated manner.

Abstract: A data receiving module receives sampled agricultural-related data associated with a given geographic area. An analysis module processes the received sampled agricultural-related data to generate a sub-sampled raster of agricultural-related data over the given geographic area. The analysis module processes the sub-sampled raster of agricultural-related data to generate a final output raster of agricultural-related data over the given geographic area. The final output raster has a higher resolution than the sub-sampled raster. A geospatial data map generation module generates image data that when used to control a display of a remote subscriber computing device causes the display to show a geospatial data map based on the final output raster of agricultural-related data over the given geographic area. A communication module transmits instructions including the generated image data to the remote subscriber computing device to cause processing of the image data to display the geospatial data map on the display.

Abstract: A cloud-based system for integration of agricultural data with geolocation-based agricultural operations is provided. The system receives agricultural-related data associated with a given geographic area and transforms the received data into an analysis-ready format. The system processes the received data through one or more algorithms to determine at least one operation to be performed within the given geographic area. The system generates a set of instructions for execution of the at least one operation within the given geographic area as a function of geolocation, where the instructions are coded for direct use by a controller of a specified type of agricultural equipment. The system transmits the instructions over a wireless communication channel to the controller, where the instructions cause the controller to direct operation of the agricultural equipment to perform the at least one operation within the given geographic area as a function of geolocation in an automated manner.

Abstract: An oil cooling arrangement includes a first manifold and a second manifold, each configured to route an oil. Further included is a first tube having a first end proximate the first manifold and a second end proximate the second manifold, wherein the first tube is configured to receive the oil and route the oil toward the second manifold. Yet further included is a second tube having a third end proximate the second manifold and a fourth end proximate the first manifold, wherein the second tube is configured to route the oil from the second manifold toward the first manifold. Also included is a turbine exhaust path configured to route an exhaust flow, wherein the first tube and the second tube are disposed along the turbine exhaust path, wherein the oil is cooled upon passage of the exhaust flow over the first tube and the second tube.

Abstract: Disclosed is a system and method for optimizing submission of output jobs to a network of output devices, using an output job manager to assign jobs to devices. The assignments are done automatically, based on policies associated with users, output devices, organizations responsible for the output devices, and the system as a whole. User output preferences are expressed as one or more user policies. System and organizational constraints associated with users and output devices and the managing of groups of output devices are also expressed as policies. An optimizing scheduler calculates tradeoffs between user preferences, and factors in constraints to optimize submission of jobs to output devices, and to optimize use and wait times on the output devices.

Abstract: Disclosed is a system and method for optimizing submission of output jobs to a network of output devices, using an output job manager to assign jobs to devices. The assignments are done automatically, based on policies associated with users, output devices, organizations responsible for the output devices, and the system as a whole. User output preferences are expressed as one or more user policies. System and organizational constraints associated with users and output devices and the managing of groups of output devices are also expressed as policies. An optimizing scheduler calculates tradeoffs between user preferences, and factors in constraints to optimize submission of jobs to output devices, and to optimize use and wait times on the output devices.