Apparatus, systems and methods are provided for monitoring yield while harvesting grain. Grain released from paddles on the clean grain elevator chain of a harvester contacts a flow sensor which reports the rate of grain flow through the clean grain elevator. In some embodiments a brush is mounted to the chain and disposed to clean the flow sensor surface. In other embodiments a bucket mounted to the clean grain elevator chain releases grain against the flow sensor at a rate dependent on a grain property.

A sensor arrangement for a combine harvester that includes a conveyor for grain-containing crops. The conveyor can be set in a periodic movement by a drive. The sensor arrangement includes a baffle plate sensor associated with the conveyor and configured to emit an electrical signal in response to an impact of a grain. The sensor arrangement includes an evaluation circuit which is connected to the baffle plate sensor for signal transmission. The evaluation circuit is configured to process the signal generated by the baffle plate sensor and, taking into account the respective position of the conveyor along movement of the conveyor, to recognize a signal generated by a grain and to emit a corresponding output signal.

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 combine harvester includes a conveyance mechanism for conveying grains obtained by a thresher for threshing grain culms reaped from a field to a grain tank, a measurer (340) for measuring the amount of grain conveyed to the grain tank as a conveyed yield, a yield assignment calculator (631) for calculating a minimal section yield, which is a yield per minimal section, by assigning the conveyed yield to a minimal section in the field, a grain conveyance state detector (632) for detecting a grain conveyance state of the conveyance mechanism (7), a yield corrector (633) for correcting the minimal section yield in accordance with the grain conveyance state, and a yield distribution data generator (661) for generating yield distribution data that represents a yield distribution in the field, based on the minimal section yield.

Yield monitoring systems for harvesting machines and methods that can provide yield monitoring of crops are described. Machines include those that pneumatically convey crop through the machine such as peanut harvesting machines. The yield monitoring system includes a force sensor that can be located in conjunction with a duct of the harvesting machine such that impact of the crop materials on an impact plate within the duct will be registered by the force sensor. This registration can be used to determine a mass flow rate for the crop, which can be correlated to yield of the crop. The systems can include additional components such as optical monitors, moisture sensors, and pressure sensors.

In a grain unloading system for a combine harvester a grain bin includes a frame, the frame has a floor with a trough disposed therein. An unloading auger is disposed at least partially within the trough. An auger cover at least partially covers the auger. The auger cover has a hat for a top portion of the auger cover and a pair of gates movable between the hat and locations on the floor that are proximal to the trough. A gate adjustment structure is coupled to the pair of gates to move the pair of gates relative to the auger. A control system is coupled to the gate adjustment structure and controls the gate adjustment structure. The gates are each provided with a plurality of external projections.

One or more information maps are obtained by an agricultural system. The one or more information maps map one or more characteristic values at different geographic locations in a worksite. An in-situ sensor detects a material dynamics characteristic value as a mobile machine operates at the worksite. A predictive map generator generates a predictive map that predicts a predictive material dynamics characteristic value at different geographic locations in the worksite based on a relationship between the values in the one or more information maps and the material dynamics characteristic value detected 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.

An agricultural harvesting machine, with at least one work assembly and a monitoring assembly, is disclosed. The agricultural harvesting machine transports harvested material in a harvested material flow along a harvested material transport path. The monitoring assembly includes an measuring system positioned on the harvested material transport path and an evaluation device configured to determine at least one harvested material parameter. The measuring system includes a first passive optical sensor that senses image data indicative of visible light in a first section and a second non-passive non-optical sensor that senses data in a second section that at least partly overlaps the first section. The evaluation device correlates the image data for the overlapping section from the first optical sensor and the data from the second optical sensor and determines, based on the correlation, at least one harvested material parameter.