Material evaluating arrangement for an agricultural work machine

At least one non-transitory computer-readable medium comprising computer-readable instructions to cause at least one processor circuit to at least:

• cause a light source to illuminate a sample of material in a tank of an agricultural work machine;
• determine a spectral signal related to a wavelength-specific intensity of light reflected by a constituent material of the sample;
• determine a prediction of a content of the constituent material using a neural network, the neural network to use the spectral signal of a spectrometer, calibration data, and a property signal relating to a property of the sample, the property signal to include at least one of a temperature, a pH, a flow rate, an air humidity, and/or a pressure of the sample;
• and
• cause an actuator of the agricultural work machine to change an application rate of the material in the tank based on the prediction of the content of the constituent material.

A method to evaluate a material, the method including:

• causing a light source to illuminate a sample of the material in a tank of an agricultural work machine;
• determining, by at least one processor circuit programmed by at least one instruction, a spectral signal related to a wavelength-specific intensity of light reflected by a constituent material of the sample;
• determining, by one or more of the at least one processor circuit, a prediction of a content of the constituent material using a neural network, the neural network using the spectral signal of a spectrometer, calibration data, and a property signal relating to a property of the sample, the property signal to include at least one of a temperature, a pH, a flow rate, an air humidity, and/or a pressure of the sample;
• and
• causing, by one or more of the at least one processor circuit, an actuator of the agricultural work machine to change an application rate of the material in the tank based on the prediction of the content of the constituent material.