A method and system for controlling the quality of harvested grains include capturing, by one or more image sensors, one or more images of material at a sampling location within a grain elevator of the combine harvester. The captured images are defined by a set of image pixels represented by image data and having a classification feature indicative of grain or non-grain material. One or more controllers receive the image data associated with the one or more images captured by the image sensor(s) and select a sample image defined by a subset of image pixels of the set of image pixels. The controller(s) apply a convolutional neural network (CNN) algorithm to the image data of the subset of image pixels of the selected sample image to determine the classification feature. The controller(s) analyze the determined classification feature to adjust an operational parameter of the combine harvester.

A chopper drum assembly for a forage harvester including a chopper drum housing, a shear bar, a shear bar holder and a wear plate assembly. The chopper drum housing includes a first part and a wear plate assembly support surface. The shear bar holder is pivotally connected at a first end to the first part of the chopper drum housing and fixedly connected to the shear bar at a second end. A first end of the wear plate assembly is pivotally connected to the second end of the shear bar holder adjacent the shear bar, and a second end of the wear plate assembly is supported by the wear plate assembly support surface wherein, the wear plate support surface is arranged to be inclined to the horizontal.

A forage harvester including a frame, a cutting arrangement and a plurality of displacement mechanisms. The cutting arrangement includes a cutting drum that is rotatable about a rotation axis with respect to the frame, and a shear bar holder configured to receive a shear bar attached thereto. Each of the displacement mechanisms including an actuator for displacing the shear bar with respect to the cutting drum and the frame. The displacement mechanisms include a sensor arrangement to measure one or more values representative of a force exerted on the shear bar and the shear bar holder when the cutting drum is rotating and cutting crops supplied to an area between the cutting drum and the shear bar.

A harvester includes a feed system operable at a feed speed and configured to feed a crop towards a blade. The blade is configured to cut the crop into crop billet and is operable at a cutting speed. The harvester further includes an optical sensor configured to generate a signal corresponding to a length of the crop billet and a control system with a processor, a memory, and a human-machine interface. The control system is configured to receive the signal and programmed to adjust one or both of the cutting speed or the feed speed based on the signal.

A harvester including an inlet configured to receive a crop including a stalk, a blade configured to cut the crop into a billet, a sensor configured to detect a three-dimensional appearance of at least a portion of the billet and generate a signal associated with the three-dimensional appearance of the at least a portion of the billet, and a control system having a processor, a memory, and a human-machine interface. The control system is configured to receive the signal from the sensor and programmed to 1) analyze the three-dimensional appearance of the at least a portion of the billet, 2) classify the three-dimensional appearance using an indicator of cut quality and 3) index the indicator of cut quality into the memory.

A system for filling a feed mixer, the system comprising: a feed intake device configured to take in a feedstock from a stockpile; a feed processing system for processing the feedstock and directing the processed feedstock into a container of the feed mixer; and a controller associated with the feed processing system, the controller configured to control processing of the feedstock by the feed processing system based on a prescribed recipe.

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 residue vision system includes a harvesting machine configured to traverse a field and harvest an agricultural material, a residue distribution system carried by the harvesting machine and configured to distribute a residue of the agricultural material onto a first harvested area of the field, at least one camera coupled to the harvesting machine and configured to acquire an image of a second harvested area of the field, and an electronic control unit in communication with the at least one camera and the residue distribution system. The electronic control unit is configured to analyze the image acquired by the at least one camera, and in response to the analysis adjust the residue distribution system to adjust distribution of the residue onto the first harvested area of the field.

A self-propelled forage harvester is disclosed. The forage harvester includes a feed device, a chopping device comprising a cutterhead equipped with cutting blades and a shear bar for comminuting harvested material, a drive, and a driver assistance system for controlling at least the chopping device. The driver assistance system includes a memory for saving data and a computing device for processing the data saved in the memory, wherein the chopping device and the driver assistance system in combination form an automatic chopping system in that the computing device continuously determines a compaction of the comminuted harvested material using harvested material parameters during a harvesting process in order to autonomously ascertain and specify a cutting length to be adapted for maintaining nearly constant compactability.

A harvester implement includes a crop processor positioned to receive the crop material from a head unit and process the crop material to alter a characteristic of the crop material, e.g., a cut length or a kernel processing score. An image sensor assembly is positioned downstream of the crop processor along a flow path of the crop material. The image sensor assembly is operable to capture a post-processing image of the crop material. A computing device is operable to execute a crop processing analysis algorithm to receive the post-processing image of the crop material from the image sensor assembly, and to analyze the post-processing image to determine an actual degree of processing to the characteristic of the crop material achieved by the crop processor. The computing device may then communicate a notification signal to an output indicating the actual degree of processing to the characteristic of the crop material.