Abstract: An agricultural machine is disclosed that includes an NIR sensor configured to detect NIR spectra of plant material and output them as raw data, an evaluation unit configured to derive at least one parameter of the plant material in real time from the raw data, and an interface for the data traffic with at least one data processing unit outside of or external to the agricultural machine that is configured to transmit the raw data to the data processing unit.

Abstract: Creating NIR sensor calibration models and their use in agricultural work machines is disclosed. A database structure, such as a database structure system, for creating calibration models for an NIR sensor system is used. The database structure includes raw data of the NIR spectra of one or both of plant material and other substances. The raw data are generated by one or more NIR sensor systems assigned to an agricultural work machine. The one or more NIR sensor systems transmit the raw data via an interface for the data traffic with at least one data processing unit external to the agricultural work machine. The database structure comprises one or more calibration models and the raw data, generates user-specific calibration models by using the saved raw data and/or calibration models, and provide user-specific calibration models to a user.

Abstract: An agricultural machine is disclosed that includes an NIR sensor configured to detect NIR spectra of plant material and output them as raw data, an evaluation unit configured to derive at least one parameter of the plant material in real time from the raw data, and an interface for the data traffic with at least one data processing unit outside of or external to the agricultural machine that is configured to transmit the raw data to the data processing unit.