A combine harvester (10) comprises sensing means to detect or estimate a volume of material other than grain (MOG) flowing through crop processing apparatus. A photoelectric sensing device (60) in communication with a controller (101) is arranged forward of, and below, a front edge (32′) of a return pan (32) which serves to catch crop material falling from overhead separating apparatus (20). The photoelectric sensing device (60) generates one or more light beams (68) which are directed across a path of a crop mat (80) as the mat falls under gravity from the front edge (32′). The controller (101) is configured to generate one of a fan speed setting and a sieve opening setting in dependence upon detection signals that are generated by the photoelectric sensing device (60).

A method for facilitating calibration of a yield monitor, including receiving, via a controller of a yield monitor calibration system, a first signal indicative of a first weight value from a scale of the yield monitor calibration system, wherein the scale is configured to monitor weight of harvested crops in a mobile storage compartment configured to receive the harvested crops from a harvester during an unloading operation. The method also includes receiving, via the controller, a second signal indicative of a second weight value from the scale in response to receiving a third signal indicative of the harvester completing the unloading operation, comparing, via the controller, the first weight value to the second weight value to determine a difference value, as well as outputting, via the controller, the difference value to the yield monitor to enable the yield monitor to perform a calibration process.

An agricultural system with an agricultural harvester has a terahertz sensor. The terahertz sensor includes at least one a terahertz source disposed to direct electromagnetic radiation toward a harvest material of the agricultural harvester. A terahertz detector is disposed to detect the terahertz electromagnetic radiation after the terahertz electromagnetic radiation interacts with the harvest material. A controller is operably coupled to the terahertz detector and is configured to detect a harvest-related parameter based on a signal from the terahertz detector and to perform an action based on a detected parameter.

A method of calibrating a yield sensor of a harvesting machine. The yield sensor generates a grain force signal as clean grain piles are thrown by the elevator flights against the sensor surface of the yield sensor. A grain height sensor is disposed to detect a height of the clean grain pile on each passing elevator flight. Each grain height signal is associated with a corresponding grain force signal by applying a time shift to account for a time delay between the time the grain height signal is generated and the time at which the impact signal is generated. The grain force signal is corrected by multiplying the grain force signal by a correction factor. The correction factor is the sum of the grain height signals divided by the sum of the grain force signals over a predetermined period.

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 arrangement for data recording and sampling for an agricultural machine includes a sensor set-up arrangement to detect properties contained in a material stream, means of taking a sample of the material from the material stream, and an electronic control unit. The control unit is configured to perform the following steps in response to a tripping signal: (a) instruct an actuator to bring the means into a position for sampling; (b) starting a recording of raw sensor arrangement data in a memory; (c) after depositing the sample at a desired sampling location, stop recording the raw data and instruct the actuator to return the means from the sampling position to an inactive position; and (d) store identification data to identify the sample together with the raw data in memory.

A sensor system for counting elements of a flow of harvested material is disclosed. The sensor system comprises an oscillating circuit and a measuring device, wherein the oscillating circuit comprises at least one capacitive component with a capacitance and an inductive component with an inductance. The oscillating circuit has a resonance frequency which depends on the capacitance and the inductance. Further, the capacitive component is positioned in the region of the flow of harvested material, so that the capacitance is influenced by individual elements of the flow of harvested material. The measuring device is configured to determine the resonance frequency of the oscillating circuit. In this way, the sensor system is configured to deduce at least one property of the particular element of the flow of harvested material from the resonance frequency of the oscillating circuit.

A sensor system for counting elements of a flow of harvested material is disclosed. The sensor system comprises an oscillating circuit and a measuring device, wherein the oscillating circuit comprises at least one capacitive component with a capacitance and an inductive component with an inductance. The oscillating circuit has a resonance frequency which depends on the capacitance and the inductance. Further, the capacitive component is positioned in the region of the flow of harvested material, so that the capacitance is influenced by individual elements of the flow of harvested material. The measuring device is configured to determine the resonance frequency of the oscillating circuit. In this way, the sensor system is configured to deduce at least one property of the particular element of the flow of harvested material from the resonance frequency of the oscillating circuit.

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.

An apparatus, a system, and a method for identifying machines involved in a transfer event. Flow rate data for material transferred between machines is acquired. The identity of the machines and the amount transferred are derived from the flow rate data by assigning machines that have similar flow rate data signals during a window of time in which the flow rate changes significantly.