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 cleaning fan on an agricultural harvester generates airflow along an airflow path through a fan duct. A movable flap is mounted relative to the fan duct and controlled to divert the airflow path in a side-to-side transverse direction relative to a front-to-back longitudinal axis of the agricultural harvester.

A threshing state management system includes an image capture unit 80 that captures an image of a threshed material threshed by a threshing apparatus, a state detection neural network 72 that outputs a threshing processing state in the threshing apparatus based on image input data generated based on the captured image from the image capture unit 80, a parameter determination unit 73 that determines a control parameter of the threshing apparatus based on the threshing processing state, and a threshing control unit TU that controls the threshing apparatus based on the control parameter.

A first in-situ sensor detects a characteristic value as a mobile machine operates at a worksite. A second in-situ sensor detects a material dynamics characteristic value as the mobile machine operates at the worksite. A predictive model generator generates a predictive model that models a relationship between the characteristic and the materials dynamics characteristic based on the characteristic value detected by the first in-situ sensor and the material dynamics characteristic value detected by the second in-situ sensor. The predictive model can be output and used in automated machine control.

A system to detect grain loss of a harvester during harvesting operations. The system includes at least two pans magnetically supported on the harvester above a ground surface, by separate electromagnets being electrically isolated from a power source while magnetically supporting the at least two pans. A signal controller generates a release signal when triggered by a user. A signal receiver responsive to the generated release signal electrically connects one of the electromagnets with the power source causing one of the at least two pans to be released to the ground surface while the second electromagnet remains electrically isolated from the power source and magnetically supported on the combine harvester until another release signal is triggered by the user causing the signal receiver to electrically connect the second electromagnet with the power source to release the second pan to the ground surface.

Receivers are arranged to detect a corresponding observed phase shift, observed attenuation or other observed signal parameters for its respective microphone. An electronic data processor is adapted to estimate a distribution or quantity of material on the sieve based on the observed phase shift, the observed attenuation or the other observed signal parameters relative to a reference phase shift, a reference attenuation or other reference signal parameter. The operator can be alerted via a user interface if the material on the sieve is unevenly distributed or matches a preestablished distribution profile, or the sieve can be adjusted by an actuator to promote a generally uniform distribution.

A method is provided for controlling a threshing system for an agricultural harvester. The method includes using a camera for obtaining images of a crop flow, processing the obtained images and controlling an operational setting of the threshing system. The images are obtained downstream of the threshing system, preferably somewhere between the threshing rotor or threshing drum and the residue spreader. The image processing aims at detecting grain ears in the obtained images, and to derive from those images at least one physical property of the detected grain ears. The operational setting of the threshing system are controlled in dependence of the derived at least one physical property.

A process for weighing a harvested crop stored in a tank of a harvesting machine, a frame supporting the tank is mounted on a wheel set by a lifting device which is operable to move the frame upwardly and downwardly upon control of a hydraulic system. The process controlling the hydraulic system and includes the steps of: determining at least one height position of the frame on the displacement course; measuring a lowering pressure and a raising pressure in the hydraulic system at the position; calculating, from the measured pressures, a balancing pressure for the frame. The process is performed before unloading the stored crop in order to calculate a loaded balancing pressure and after the unloading in order to calculate an empty balancing pressure. The weight of the stored crop is calculated from a pressure variation between the loaded balancing pressure and the empty balancing pressure.

An impact processing device has a central impact mechanism arranged to rotate about a rotation axis and a first processing stage that includes the impact mechanism and a first structure extending circumferentially about the impact mechanism. The first structure has a first processing sector, and a first screening sector, where the processing sector extends for a first circumferential portion of the first structure and has an impervious textured surface and the first screening sector has a plurality of holes and extends for a second circumferential portion of the first structure. The impact mechanism is operable to impact material against the first processing sector and generate a flow of the impacted material to first screening sector through which at least a portion of the impacted material can pass.

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.