Ensuring feed quality in industrial agriculture requires detailed chemical knowledge of the nutritional value of the feed ingredients . Ideally, such information is obtained quickly and noninvasively during production and is available at product release. Most laboratory analyses are very costly and too timeconsuming for use in real time . Therefore, to determine the nutritional composition of ingredients, feed manufacturers often resort to off-line laboratory measurements through occasional wet analysis or available databases . Process analytical technologies (PATs) based on near-infrared spectroscopy (NIRS) fingerprinting are becoming increasingly available to accurately identify feed ingredients according to their nutritional content in rapid, non-destructive and cost-effective ways . NIRS-based information is often available in (near) real time, which allows for controlling and improving the ongoing process to enable quality assurance even during processing . NIRS fingerprints, however, provide more than just nutritional value information; they can also be used to predict several parameters, such as geographical origin , that are closely related to the environmental footprint of the ingredients. However, such a link between NIRS and quantifying, controlling and improving the environmental sustainability of feed production has not yet been explored.