An agricultural harvesting machine comprises a path processing system that obtains a predicted crop yield at a plurality of different field segments along a harvester path on a field, and obtains field data corresponding to one or more of the field segments generated based on sensor data as the agricultural harvesting machine is performing a crop processing operation. A yield correction factor is generated based on the received field data and the predicted crop yield at the one or more field segments. Based on applying the yield correction factor to the predicted crop yield, a georeferenced probability metric is generated indicative of a probability that the harvested crop repository will reach the fill capacity at a particular geographic location along the field. A control signal generator generates a control signal to control the agricultural harvesting machine based on the georeferenced probability metric.

A system includes an agricultural crop receiving vehicle with a bin for receiving and holding agricultural crop material and a camera positioned to capture images of an area proximate the receiving vehicle. One or more computing devices receive the image data from the camera, identify one or more features of a harvester in the image data, determine a location of the agricultural harvester relative to the crop receiving vehicle, and use the location of the agricultural harvester to generate control signals for controlling movement of the agricultural crop receiving vehicle to coordinate receiving crop material in the bin from the harvester or for controlling a graphical user interface to present a visual indicator of the relative locations of the agricultural crop receiving vehicle and the agricultural harvester.

A system includes an agricultural crop receiving vehicle with a bin for receiving and holding agricultural crop material and an electromagnetic detecting and ranging module for generating data indicating the presence and location of a harvester proximate the agricultural crop receiving vehicle. One or more one or more computing devices are configured to receive the data from the electromagnetic detecting and ranging module, determine a location of the harvester relative to the agricultural crop receiving vehicle, and use the location information to generate control signals for controlling movement of the agricultural crop receiving vehicle to coordinate receiving crop material in the bin from the harvester or for controlling a graphical user interface to present a visual indicator of the relative locations of the agricultural crop receiving vehicle and the harvester.

A camera captures an image of a portion of a cart and accesses stored maps that map visual features of carts to a set of settings that are applied to an automatic fill control system. A map that matches visual features of the cart, in the captured image, is identified and the settings in that map are applied to the automatic fill control system.

One or more techniques and/or systems are disclosed for a harvester vehicle that includes a crop processing system comprising at least an accumulator and a round module builder. The harvester vehicle has a feedback fusion system that operably provides crop processing data indicative of an estimated accumulator fill level to a crop feed rate control system. The feedback fusion system has a plurality of feedback devices that operably provide feedback signals including data indicative of two or more of: crop mass flow, module builder status, module size, and accumulator fill level. The feedback fusion system has a control module that operably receives the feedback signals and generates an accumulator fill level signal based at least upon two or more of the feedback signals. The accumulator fill level signal is indicative of the estimated fill level in the accumulator.

A system for sensing harvested crop levels within a crop tank of an agricultural harvester includes a tank cover section movable between an open position and a covered position relative to an opening of the crop tank. The system includes a sensor array including crop level sensors configured to capture data indicative of a crop level of harvested crop. The sensor array is supported, at least in part, relative to the crop tank such that the sensor array is configured to have a first orientation when the tank cover section is in the covered position and a second orientation when the tank cover section is in the open position. The sensor array defines a first vertical dimension when the sensor array is disposed in the first orientation that is less than a second vertical dimension defined by the sensor array when the sensor array is disposed in the second orientation.

A method for operating a control device of a utility vehicle for carrying out a work process, in particular an agricultural utility vehicle. The utility vehicle includes a large number of sub-systems, each for executing a sub-process of the work process, a control program for controlling the utility vehicle and the work process is divided into a large number of sub-programs; each sub-program is provided for controlling a relevant sub-system of the utility vehicle and for controlling a sub-process of the work process that is to be executed by this relevant sub-system; a large number of virtual machines is executed, the individual virtual machines each executing one of the sub-programs.

A camera captures an image of a portion of a cart and accesses stored maps that map visual features of carts to a set of settings that are applied to an automatic fill control system. A map that matches visual features of the cart, in the captured image, is identified and the settings in that map are applied to the automatic fill control system.

The present disclosure relates to a harvesting system for variety of grain crops. The harvesting system comprises a harvester control unit, a grain loss monitoring GLM-ECU, a cloud communication interface ECU, a plurality of sensors, a controller area network (CAN), a buzzer/alarming device, a display unit, a cloud and a mobile application. The GLM-ECU is configured to process signals from a sieve sensor and a straw walker sensor. The harvester control unit is configured to process signals received from the plurality of sensors and the cloud communication interface ECU serves as an interface to interchange the data between the harvester control unit and the cloud . The harvester system results in increase in productivity and trust among the stake holders by virtue of real-time information sharing.

A combine including: a grain tank that stores grains sorted by a sort unit that swings to sort grains fallen from a threshing cylinder unit; a yield measuring device that measures the amount of grain put in the grain tank; a unit yield calculation unit that calculates a unit yield per unit plot in a cultivated field; an opening degree adjustment unit that adjusts the opening degree of a chaff sheave of the sort unit in accordance with a threshing state of the threshing apparatus; a mode setting unit that sets a yield accuracy priority mode in which priority is given to accuracy of the unit yield calculation performed by the unit yield calculation unit; and a yield accuracy maintenance unit that in response to the mode setting unit setting the yield accuracy priority mode, forcibly fixes the opening degree of the chaff sheave at a specific opening degree.