System and method for determining an indicator of processing quality of an agricultural harvested material

US11785889B2 · kind B2 · utility

Assignee

• CLAAS Selbstfahrende Erntemaschinen GmbH · DE

Inventors

• Sven Carsten Belau · Vellmar, DE
• Frédéric Fischer · Arnsberg, DE
• Christoph Heitmann · Warendorf, DE
• Ingo Bönig · Gütersloh, DE

Key dates

• Filing date: Jun 22, 2022
• Grant date: Oct 17, 2023
• Expiry date: Jun 22, 2042

Classification

• Technology area (CPC G): Physics
• CPC primary: G01N2021/8592
• WIPO field: Measurement
• WIPO sector: Instruments

Abstract

A method and a system for determining an indicator of processing quality of an agricultural harvested material using a mobile device is disclosed. A computing unit analyzes image data of a prepared sample of harvested material containing grain components and non-grain components in an analytical routine to determine the indicator of the processing quality of the agricultural harvested material. Further, the computing unit uses a trained machine learning model in the analytical routine to perform at least one step of determining the indicator of the processing quality of the agricultural harvested material and that the computing unit adjusts at least one machine parameter of the forage harvester based on the indicator of processing quality.