Measurements of pea tenderness comparable to those provided by mechanical tenderometers are provided through analysis of an infrared spectrum of shelled peas. These measurements may be output directly or used to control real time harvesting of peas to prevent mixing of peas with different tenderness values.

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.

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.

A system and method for automated grain inspection and analysis of results during harvest, using an inspection system mounted on a combine harvester with geolocation tracking, allowing for real time analysis during harvest and tracking of grain quality by location of harvest.

A forage harvester is disclosed. The forage harvester has a work assembly for harvesting a crop and for processing harvested material of the crop, which includes grain components and non-grain components. In operation, the harvested material is transported in a harvested material flow along a harvested material transport path through the harvesting machine. The forage harvester also has a control assembly that includes an optical measuring system arranged on the harvested material transport path. The optical measuring system has a camera for recording image data of the harvested material of the harvested material flow. The control assembly, using an image recognition routine, determines image regions assigned to a non-grain component in the image data, determines geometric properties of the assigned non-grain components based on the image regions, and determines an indicator of a structural percentage of the harvested material from the geometric properties.

A system and method of controlling an agricultural machine includes successively recording signals from a first sensor sensing an agronomic parameter of a field during an operation of the machine in the field. The system and method of controlling an agricultural machine also includes successively recording signals from a second sensor sensing an operation parameter of the machine during the operation of the machine in the field. The signals of the first sensor and the second sensor are spatially overlaid. A respective zone in the field is determined from the overlaid signals. An actuator of the machine is controlled dependent on the determined zone in which the machine operates.

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 material evaluating device for an agricultural work machine comprising: a light source for illuminating one or more constituent materials to be examined; a spectrometer for providing a spectral signal related to the wavelength-specific intensity of light reflected by the constituent materials; and an evaluation device configured to determine the content of one or more constituent materials using the spectral signal of the spectrometer and a calibration data, wherein a property signal relating to a property of the one or more constituent materials is supplied to the evaluation device and the evaluation device is configured, using the property signal, to determine the content of the one or more constituent materials.

One or more techniques and/or systems are disclosed for a identifying traversability of a site. Site conditions of a target site affecting traversability can be identified using real-time or historical data. Soil conditions, weather conditions, moisture levels, and other factors may be used to determine whether a target site is traversable by a target piece of equipment. The traversability information can be identified for a target area, that comprises a target site, and a traversability map can be generated for the site. Target equipment specifications can be used to determine whether the target equipment may effectively traverse the target site based on the traversability map. Further, a traversability path may be generated for a piece of target equipment based on the traversability map, site conditions, and the equipment specifications. Additionally, site management may be enhanced using the site condition data to plan traversability of target equipment at the target site.

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.