An agricultural system includes an in-situ sensor that detects a value of a dynamic response characteristic corresponding to a first geographic location, of a plurality of different geographic locations, in a field, one or more processors, and memory storing instructions executable by the one or more processors. The instructions, when executed by the one or more processors, configure the one or more processors to: obtain an information map that includes values of an agricultural characteristic corresponding to the plurality of different geographic locations in the field, identify a predictive value of the dynamic response characteristic corresponding to a second geographic location in the field based on the value of the dynamic response characteristic corresponding to the first geographic location and a value of the agricultural characteristic corresponding to the first geographic location; and control the agricultural work machine based on the predictive value of the dynamic response characteristic.

Described herein are technologies that use LIDAR and computer vision to detect a location of a receiving vehicle relative to a forage harvester, fill levels of crop material within the receiving vehicle, and path and landing position of material expelled from the forage harvester and received by a bin of the receiving vehicle. The technologies use such information as feedback for operating the harvester or the receiving vehicle. Some embodiments detect ground level in front of the harvester or the receiving vehicle, and such information is used as feedback too. Some embodiments include a link to communicate the feedback to a GUI for user visualization of the feedback and semi-automated operations of the harvester or the receiving vehicle. For example, readings from LIDAR and a camera of the harvester detect a topography of the material deposited in the bin of the receiving vehicle, and a GUI outputs the topography.

An agricultural work machine includes a geographic position sensor that detects a geographic location of the agricultural work machine. An in-situ sensor detects a value of a dynamic response characteristic of the agricultural work machine corresponding to the geographic location. A predictive model generator generates a predictive model that models a relationship between the terrain feature characteristic and the dynamic response characteristic based on a value of the terrain feature characteristic in a prior information map at the geographic location and a value of the dynamic response characteristic sensed by the in-situ sensor at the geographic location. A predictive map generator generates a functional predictive dynamic response map of the field, that maps predictive values of the dynamic response characteristic to the different geographic locations in the field, based on the values of the terrain feature characteristic in the prior information map and based on the predictive model.

An embodiment includes a system for sensing harvested grain levels within an agricultural harvester. The system including a grain tank configured to receive harvested grain, a sensor configured to emit a sensor beam into the grain tank for reflection off of the top surface of the harvested grain, and a reflective target integrated into a bottom surface of the grain tank at a minimum detectable grain level within the grain tank. The bottom surface of the grain tank being angled towards the sensor, the minimum detectable grain level being defined by a minimum grain level within the grain tank at which the top surface of the harvested grain is contacted by the sensor beam, and the reflective target being configured to reflect the sensor beam when the current grain level is vertically below the minimum detectable grain level.

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.

Systems and methods for performing an engine regeneration procedure in a work machine with an internal combustion engine are described. An electronic controller determines, based on information associated with one or more machine sensors and/or machine actuators, whether the work machine is in an idle state (e.g., a storage or non-harvesting state). In response to determining that the work machine is in the idle state, the electronic controller displays a user approval prompt on the display of an operator interface and performs the engine regeneration procedure in response to receiving a user input approving the engine regeneration procedure after displaying the user approval prompt. Conversely, in response to determining that the work machine is not in the idle state, the electronic controller performs the engine regeneration procedure without displaying the user approval prompt and without receiving any user input approving the engine regeneration procedure.

A crop measurement system of an agricultural machine that harvests and processes crop includes a tank configured to store harvested crop and a crop conveyer configured to provide the harvested crop to the tank. The agricultural machine further includes a controller, at least one weight sensor, and at least one image sensor. The controller is configured to: receive weight measurements of only a portion of harvested crop in the tank from the at least one weight sensor, receive dimension and location measurements of the total amount of harvested crop in the tank from the at least one image sensor, and determine the mass of the total amount of harvested crop stored in the tank based on one or more signals received from the at least one weight sensor and one or more signals received from the at least one image sensor.

An agricultural system for determining crop loss of an agricultural harvester may include a support beam extending along a lateral direction between first and second lateral ends, and one or more impact sensors supported on the support beam. Each of the one or more impact sensors is configured to generate data indicative of a crop impact location of each crop impact of a plurality of crop impacts on the support beam between the first and second lateral ends. Additionally, the agricultural system may include a computing system communicatively coupled to the one or more impact sensors, where the computing system is configured to determine the crop impact location of each crop impact of the plurality of crop impacts on the support beam between the first and second lateral ends based at least in part on the data from the one or more impact sensors.

A leading vehicle loads material into a receiving vehicle during an unloading operation. The unloading operation loads the receiving vehicle according to a multi-pass fill pattern.

An automated grain filling system including a sensor and a processor. The sensor is configured to detect at least a portion of an upper perimeter of a receiving container and at least a portion of an upper surface of a grain mound in the receiving container. The processor is configured to compare the detected portion of the upper perimeter and the detected portion of the upper surface, and direct the operation of a grain transfer element. The grain transfer element is configured to transfer grain from a supplying container to the receiving container. The directed operation of the grain transfer element is based at least in part on a result of the comparison of the detected portion of the upper perimeter and the detected portion of the upper surface.