An agricultural harvesting machine and a method for operating an agricultural harvesting machine is disclosed. The agricultural harvesting machine includes an attachment configured to receive a crop containing grain components, at least one work assembly for processing the received crop, a transfer device, a near-infrared (NIR), and an evaluation device. The crop is received by the attachment and traverses the harvesting machine, thereby defining a crop stream. The NIR sensor is positioned along the crop stream downstream from the at least one work assembly and generates one or more signals indicative of at least one aspect of the grain components in the crop stream. Further, the evaluation device receives and analyzes the signals from the NIR sensor in order to determine a degree to which the grain components contained in the crop stream are cracked.

An agricultural work management system includes: a data input unit configured to receive, from an agricultural crop harvester, harvesting position data indicating a harvesting work position as agricultural land information, harvest amount data indicating a harvest amount of the agricultural crop harvested in the agricultural land, and quality data indicating the quality thereof as agricultural crop information; a database server configured to store the agricultural land information and the agricultural crop information such that they can be associated with each other; an agricultural work evaluation unit configured to perform agricultural work evaluation on the agricultural land based on the agricultural land information and the agricultural crop information; and a data output unit configured to send out the agricultural work evaluation data generated by the agricultural work evaluation unit.

A system and method for automated grain inspection and analysis of results, that inspects grains using a plurality of light spectra, analyzes the results, and produces detailed reports from the analysis.

A display controller controls a display device in a harvester to display an interface showing adjustments to combine harvester settings, received from a remote computing system, along with an adjustment actuator. A settings adjustment is made based on user actuation of the adjustment actuator input is received through the settings adjustment actuator on the displayed interface. A verification notification is sent to the remote computing system, showing the adjusted settings on the combine.

An agricultural work management system includes: a data input unit (41) configured to receive, from an agricultural crop harvester (1), harvesting position data indicating a harvesting work position as agricultural land information, harvest amount data indicating a harvest amount of the agricultural crop harvested in the agricultural land, and quality data indicating the quality thereof as agricultural crop information; a database server (6) configured to store the agricultural land information and the agricultural crop information such that they can be associated with each other; an agricultural work evaluation unit (51) configured to perform agricultural work evaluation on the agricultural land based on the agricultural land information and the agricultural crop information; and a data output unit (42) configured to send out the agricultural work evaluation data generated by the agricultural work evaluation unit.

An agricultural harvesting system has an agricultural harvesting machine with at least one agricultural working unit that performs agricultural work, and an adjusting unit for adjusting the parameters of the particular working unit, a conveyor channel for a crop stream generated in a harvesting process by harvesting a field of crop, and an NIR sensor unit containing an NIR sensor which is configured for detecting constituents and/or properties of the crop stream. The crop stream in the conveyor channel can be guided past the NIR sensor. An on-line data processing unit controls the particular working unit, and generates control data on the basis of crop stream data which have been generated by the NIR sensor unit and correspond to the constituents and/or properties detected by the NIR sensor, and the adjusting unit carries out a parameter adjustment of the particular working unit on the basis of the control data.

A method and non-transitory computer-readable medium capture an image of bulk grain and apply a feature extractor to the image to determine a feature of the bulk grain in the image. For each of a plurality of different sampling locations in the image, based upon the feature of the bulk grain at the sampling location, a determination is made regarding a classification score for the presence of a classification of material at the sampling location. A quality of the bulk grain of the image is determined based upon an aggregation of the classification scores for the presence of the classification of material at the sampling locations.

Methods and systems for monitoring a throughput of a crop cut from a field. The system may include, and the method may be performed at least in part using, a combine harvester including a feeder box, a main body, a threshing mechanism, and an organic material throughput sensor provided within the feeder box. The system may also include a data management system. The organic material throughput sensor senses organic material throughput data including at least one of a volume of the organic material, and a weight of the organic material, and the data management system outputs an organic material throughput map or other information based on the organic material throughput data. Using the organic material throughput data or the organic material throughput map, a producer or other operator can make a more informed planting or treatment decision for a field.

A method for growing plants includes both a seeder and a harvester both of which include arrangements for singulating the seeds and for measuring parameters of the seeds while singulated. This can be used for seeding selected seeds and for harvesting particular plants. The system operates by correlating information from the individual seeded seeds and from the harvested seeds in respect of a particular location on the growth medium and may include information relating the growth medium at the location. The location can be determined by seeding the plants in patterns which can be detected by a reader on the harvester. The system can be used to control selection of seeds to take into account soil conditions at the plant.

An image capture device captures an image of crop after it has been processed by a kernel processing unit on a forage harvester. A size distribution indicative of the distribution of kernel fragment sizes in the harvested crop is identified from the image captured by the image capture device. A control system generates control signals to control a speed differential in the speed of rotation of kernel processing rollers based on the size distribution. Control signals can also be generated to control a size of a gap between the kernel processing rollers.