Agco International Gmbh

Esma Mujkic

Martin Peter Christiansen

Ramon Buchaca Tarragona

Morten Stigaard Laursen

Morten Leth Bilde

Kenneth Düring Jensen

Methods and systems for mapping the distribution of residue material in an environment in which one or more agricultural machines are operable. A sensing arrangement including one or more sensors mounted or otherwise coupled to an agricultural machine operating within the environment is used to obtain sensor data indicative of residue material spread by a spreader tool of the machine. A local distribution of material associated with the spreader tool is determined and used to update a map of a global distribution of the material across the environment. The map of the global distribution comprises one or more sub-regions categorized based on the local distribution dependent on material characteristics at those sub-regions.

Residue spread mapping

Systems and methods are provided for guiding an agricultural machine utilising image data received from one or more imaging sensors associated with the agricultural machine. The image data is analysed utilising a detection model to classify at least one object within the environment of the agricultural machine and the classification is used to identify a cooperative machine for performing a cooperative operational task with the agricultural machine. The systems extend to controlling operation of the guidance system in dependence on the identified cooperative machine.

Agricultural machine guidance

An object detection system for an agricultural machine which utilises image data from one or more imaging sensors associated with the agricultural machine. The image data is analysed utilising first and second detection models to classify, for one or both models, an object within the environment of the agricultural machine. A classification metric for the object indicative of an overlap associated with the classification obtained for each of the models for the object is used in determining an identity for the object. One or more operable components associated with the agricultural machine may then be controlled in dependence on the determined identity.

Object detection system

Described herein are technologies that use LIDAR and computer vision to detect locations of receiving vehicles grouped together relative to a forage harvester and detect fill levels of crop material within each receiving vehicle and path and landing position of material expelled from the harvester into a bin of a receiving vehicle of the group. Such information is used as feedback for operating the harvester or one or more self-propelled vehicles moving the receiving vehicles. Some embodiments detect ground level in front of the harvester or the receiving vehicles and use such information as feedback. Some embodiments include a link to communicate the feedback to a GUI for user visualization of the feedback and semi-automated operations. For example, readings from LIDAR and a camera of the harvester detect a position and a crop material fill level for each receiving vehicle in the group, and the GUI outputs the information.

Harverster systems and methods for automated and semi-automated filling of groups of receiving vehicles

Described herein are technologies that use LIDAR and computer vision to detect a location of a receiving vehicle relative to a forage harvester, fill levels of crop material within the receiving vehicle, and path and landing position of material expelled from the forage harvester and received by a bin of the receiving vehicle. The technologies use such information as feedback for operating the harvester or the receiving vehicle. Some embodiments detect ground level in front of the harvester or the receiving vehicle, and such information is used as feedback too. Some embodiments include a link to communicate the feedback to a GUI for user visualization of the feedback and semi-automated operations of the harvester or the receiving vehicle. For example, readings from LIDAR and a camera of the harvester detect a topography of the material deposited in the bin of the receiving vehicle, and a GUI outputs the topography.

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Randers, Denmark

Esma Mujkic