Abstract: An agricultural system includes a header and a controller. The controller is configured to receive a first input indicative of a set profile of the header, in which the set profile comprises a target position of the header for a non-harvesting mode, store the set profile of the header. The controller is further configured to receive a second input indicative of a selection of the non-harvesting mode, output a first signal to instruct the agricultural system to operate in the non-harvesting mode in response to receiving the second input, and output a second signal to set a current position of the header based on the set profile in response to receiving the second input.

Abstract: An agricultural system includes a frame, a cutter bar assembly, and a reel. The agricultural system also includes a controller configured to receive data indicative a position of the cutter bar assembly relative to the frame over a first time period of a harvesting operation, receive an input of a risk level for contact between the cutter bar assembly and the reel during the harvesting operation, generate a boundary for the reel based on the position of the cutter bar assembly relative to the frame over the first time period of the harvesting operation and the input, and control the reel based on the boundary during a second time period of the harvesting operation.

Abstract: A point of sale (POS) device includes a nest portion and a cradle portion. The nest portion includes one or more payment card or near field communication (NFC) readers. The cradle portion couples to differently-sized interchangeable frames, which in turn help secure a mobile computing device to the cradle portion of the POS device. The mobile computing device is connected via a connector to the rest of the POS device. Payment card information read by the readers is conveyed to the mobile computing device over the connector for processing. The POS device may also include tamper detection circuitry.

Abstract: An agricultural system includes a header having a row unit with a feed roller configured to engage a crop and to pull a stalk of the crop toward the field. The header also includes a conveyor configured to receive a desirable crop material of the crop from the row unit and to direct the desirable crop material of the crop toward an inlet of the agricultural system. The header further includes a sensor system configured to detect presence of material other than grain (MOG) proximate to or at the conveyor.

Abstract: A header for an agricultural system includes a plurality of row units distributed across a width of the header, one or more sensors coupled to the header and configured to generate respective signals indicative of a plurality of objects in an area proximate the header, and a controller comprising a memory and a processor. The one or more sensors are oriented such that a field of view of the one or more sensors comprises an area forward of the header relative to a direction of travel of the header and above the header relative to a soil surface, and the controller is configured to receive the respective signals from the one or more sensors coupled to the header and process the respective signals to determine an amount of butt-shelling occurring on the header.

Abstract: An impact detection system for a header of an agricultural system includes a first camera coupled to the agricultural system and configured to capture imagery of at least one row unit of the header. The impact detection system also includes a controller configured to utilize computer vision techniques to identify a portion of a crop in the imagery and to determine a location of initial contact of the portion of the crop at the header based on the imagery.

Abstract: An agricultural system includes a header with a feed roller configured to engage a crop and to drive material other than grain (MOG) of the crop toward a field. The agricultural system also includes a chopper configured to cut the MOG driven toward the field by the feed roller for discharge from the agricultural system and a control system configured to output a control signal to adjust a speed of the chopper relative to a speed of the feed roller based on a size of the MOG discharged from the agricultural system.

Abstract: A stubble lean detection system for an agricultural harvester includes a controller having a memory and a processor. The controller is configured to receive a sensor signal indicative of an image of stubble within an agricultural field. The controller is also configured to determine whether an aggregate direction of lean of the stubble is forward, rearward, or mixed based on the image. Furthermore, the controller is configured to output an information signal to a user interface indicative of instructions to inform an operator of the aggregate direction of lean.

Abstract: A header for an agricultural harvester including a continuous loop knife and a sensor for sensing conditions of a plurality of knives of the continuous loop knife in increments comprising non-adjacent groups of one or more knives, whereby substantially all of the plurality of knives is sensed after a plurality of cycles of the continuous knife past the sensor. With the header so equipped, a timely determination of wear or damage to the knives in a loop knife cutting system can be made, so that damaged knives may be replaced before significant deterioration of the cutting performance occurs.

Abstract: A system for controlling harvesting implement height of an agricultural harvester may include a computing system configured to monitor the height of a harvesting implement of the harvester relative to a field surface based on the received sensor data. Additionally, the computing system may be configured to determine an implement height error signal by comparing the monitored height of the harvesting implement to a predetermined target height. Moreover, the computing system is configured to divide the determined implement height error signal into a first and second frequency portions, with the second frequency portion having a greater frequency than the first frequency portion. Furthermore, the computing system is configured to control the operation of first and second actuators of the harvester based on the first and second frequency portions of the implement height error signal, respectively.

Abstract: A system and method for monitoring environment employ a dense network of sensor nodes. The method includes obtaining environmental information by combining a plurality of observations; wherein the plurality of observations are made with in-situ sensors and remote sensors; wherein the sensors form a high-density network comprising a plurality of distributed sensors; and wherein an individual sensor node, comprising of one or more sensors, can perform automatic zero-drift or other correction by deriving calibration information from other nearby nodes' observational data. The system can monitor gas concentrations over urban areas, industrial, forest, farm, wetland, power plants and other types of surfaces.

Abstract: A system and method for monitoring environment employ a dense network of low-cost sensor nodes. The method includes obtaining environmental information by combining a plurality of observations; wherein the plurality of observations are made with in-situ or remote sensors; wherein the sensors are of different degrees of accuracy in a way to complement each other, and of different cost, and wherein the low-cost sensors form a high-density network comprising a plurality of distributed sensors. The system can monitor gas concentrations over urban areas, industrial, forest, farm, wetland, power plants and other types of surfaces.

Abstract: A system and method for monitoring environment employ a dense network of low-cost sensor nodes. The method includes obtaining environmental information by combining a plurality of observations; wherein the plurality of observations are made with in-situ or remote sensors; wherein the sensors are of different degrees of accuracy in a way to complement each other, and of different cost, and wherein the low-cost sensors form a high-density network comprising a plurality of distributed sensors. The system can monitor gas concentrations over urban areas, industrial, forest, farm, wetland, power plants and other types of surfaces.