A method and system for planning an optimized soil cultivation process of a field for anf agricultural combination is disclosed. The agricultural combination includes an agricultural production machine and a soil cultivating agricultural attachment. A planning control assembly is used to determine recommended actions for the soil cultivation process with an expert model using soil data of the field, wherein the soil data of the field is location-dependent.

A method and system for determining working heights independent of the type of coupling of a plurality of agricultural attachments using a sensor assembly is disclosed. The sensor assembly includes at least one sensor for recording measured data and a control assembly. The attachments may be coupled to an agricultural production machine by an equipment interface using different types of coupling. The attachments are temporarily coupled to the agricultural production machine using the different types of coupling. The control assembly determines the working heights independent of the type of coupling of the differently coupled attachments when in a coupled state by using the same sensor. The control assembly displays the working heights determined independent of the type of coupling by means of the agricultural production machine, and/or uses them to control and/or regulate the agricultural production machine.

A system and method for controlling, such as pre-optimizing, agricultural work processes for agricultural combinations is disclosed. Agricultural combinations include an agricultural production machine and different agricultural attachments. A sensor assembly determines an absolute working height of the agricultural attachments using a sensor measuring data regarding the absolute working height. The agricultural combination includes a combination control assembly that controls and/or regulates machine parameters of the particular agricultural combination based on an optimization data set and the measured data obtained during the working process. An optimization control assembly determines the optimization data set from competing optimization goals, optimization data both apart from and relating to the combination. The sensor assembly determines the absolute working height of the different agricultural attachments using the same sensor, and the optimization data set suggests the optimized working height of the agricultural attachment and/or suggestions for optimized settings of other machine parameters of the agricultural combination.

A geographic position of an agricultural machine is captured. Agricultural data is received that corresponds to a geographic position. Georeferenced visual indicia are displayed that are indicative of the received agricultural data.

A method and system for collecting agricultural measured data in an agricultural production machine that is combined with at least one agricultural attachment for fieldwork is disclosed. A sensor assembly is provided that has a sensor and a control assembly. The sensor may be integrated in combinations comprising (or consisting of) an agricultural production machine and a plurality of agricultural attachments. The sensor records measured data relating to at least one work quality parameter of the particular attachment and transmits it to the control assembly. In turn, the control assembly generates a common data set in a standardization routine from the measured data relating to the different attachments.

A method for automating an agricultural work task which is performed by a tillage device on an agricultural tractor includes modifying via a control unit at least one process control variable representing a working or operating parameter of the tillage device using feedback data which represent a field state of a field surface before or after tillage, generating via an imaging sensor a ground image of the field surface, and evaluating via a data processing unit the ground image to determine at least some of the feedback data. The data processing unit evaluates the ground image such that the ground image is used to determine the feedback data depending on the result of a monitoring of the field surface for visually covering air dust.

A geographic position of an agricultural machine is captured. Agricultural data is received that corresponds to a geographic position. Georeferenced visual indicia are displayed that are indicative of the received agricultural data.

A pattern recognition system including an image gathering unit that gathers at least one digital representation of a field, an image analysis unit that pre-processes the at least one digital representation of a field, an annotation unit that provides a visualization of at least one channel for each of the at least one digital representation of the field, where the image analysis unit generates a plurality of image samples from each of the at least one digital representation of the field, and the image analysis unit splits each of the image samples into a plurality of categories.

A machine control system includes an agricultural work machine having an ECU coupled via a system bus to control engine functions, a GPS receiver, data collector, and specialized guidance system including a stored program. The data collector captures agricultural geospatial data including location data for the work machine and data from the ECU, and executes the stored program to: (a) capture geometries of the farm; (b) capture agricultural geospatial data; (c) automatically classify the agricultural geospatial data using the geometries of the farm, into activity/event categories including operational, travel, and ancillary events; (d) aggregate the classified data to create geospatial data events; (e) match the geospatial data events to a model to generate matched events; (f) use the matched events to generate actionable information for the working machine in real time or near real-time; and (g) send operational directives to the agricultural work machine based on the actionable information.

Methods, devices, and systems may be utilized for detecting one or more properties of a plant area and generating a map of the plant area indicating at least one property of the plant area. The system comprises an inspection system associated with a transport device, the inspection system including one or more sensors configured to generate data for a plant area including to: capture at least 3D image data and 2D image data; and generate geolocational data. The datacenter is configured to: receive the 3D image data, 2D image data, and geolocational data from the inspection system; correlate the 3D image data, 2D image data, and geolocational data; and analyze the data for the plant area. A dashboard is configured to display a map with icons corresponding to the proper geolocation and image data with the analysis.