At least one sensor carried by a mobile machine senses a sensed forage crop attribute value independent of plant population for an individual forage plant. A processing unit derives a derived forage crop attribute value based on the sensed forage crop attribute value.

At least one sensor carried by a mobile machine senses a sensed forage crop attribute value independent of plant population for an individual forage plant. A processing unit derives a derived forage crop attribute value based on the sensed forage crop attribute value.

One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Embodiments of a kernel-level grain monitoring system include a grain camera positioned to capture bulk grain sample images of a currently-harvested grain taken into and processed by a combine harvester, a moisture sensor, and a display device. A controller architecture is coupled to the grain camera, to the moisture sensor, and to the display device. The controller architecture is configured to: (i) analyze the bulk grain sample images, as received from the grain camera, to determine an average per kernel (APK) volume representing an estimated volume of a single average kernel of the currently-harvested grain; (ii) repeatedly calculate one or more topline harvesting parameters based, at least in part, on the determined APK volume and the moisture sensor data; and (iii) selectively present the topline harvesting parameters on the display device for viewing by an operator of the combine harvester.

A method for controlling crop material speed through a rotor/cage assembly of an agricultural combine. The method includes the steps of monitoring a grain loss of the combine and adjusting an orientation of a vane coupled to the cage responsive to the grain loss, a cleaning system load and/or a straw length.

A particulate matter impact sensor (301) for sensing impacts of particles (106) comprises a support layer (302); and a sensing media layer (300) disposed in front of the support layer (302).

A grain quality sensor comprising a photosite array, an illumination source, a filter, and an electronics module, wherein the illumination source directs light onto a crop sample, wherein the filter limits passage of light into different parts of the photosite array such that certain locations on the photosite array only receive certain wavelengths of light reflected or fluoresced by the crop sample, wherein an electronics module is electrically connected to the photosite array and capable of determining which parts of the photosite array received light and the wavelengths of the light received, wherein the electronics module can analyze the optical data received by the photosite array, and wherein the analysis of the optical data is used to determine the composition of the crop sample.

A mobile agricultural corn harvester comprises a non-header portion and a header portion (or header). The mobile agricultural corn harvester further includes a material other than grain (MOG) intake characteristic sensor, disposed on the non-header portion, configured to detect MOG intake and generate sensor data indicative of MOG intake. The mobile agricultural harvester further includes a control system configured to determine a control action based on the sensor data and to generate an action signal to control a controllable subsystem, such as a deck plate actuator a header speed actuator, or a header position actuator, based on the determined control action.

A mobile agricultural machine includes a set of ground engaging elements, a controllable subsystem configured to perform a work operation on a field, and a control system. The control system is configured to identify a work performance metric representing a performance characteristic of the work operation having an inverse relationship to traversal speed of the mobile agricultural machine over the field, receive an indication of operator presence relative to the mobile agricultural machine, generate a weighting parameter that weights the work performance metric relative to a ride quality metric based on the indication of operator presence, determine a target machine speed based on the weighting parameter, and output a control instruction based on the target machine speed.

A loss sensor calibration system detects a calibration trigger and measures a distance of travel of a harvester. When the harvester is stopped, the loss sensor calibration system generates an output indicative of a location where a manual loss measurement is to be taken for harvested material loss, relative to the harvester. The loss sensor calibration system generates a measured value input actuator that can be actuated by an operator to input the measured loss value. The loss sensor calibration system generates a scale factor based upon the measured value and applies the scale factor to a sensor signal generated by a material loss sensor to obtain a scaled sensor signal. A control system generates control signals based upon the scaled sensor signal.