An aplication of ANN in Near Infrared (Protein in wheat with Infratec)

This paper shows how the ANN algorithms can be applied to NIR technology:

Artificial Neural Networks and Near Infrared Spectroscopy - A case study on protein content in whole wheat grain

The authors explain why the IFT calibrations are so robust for wheat. This is a case where more than 40000 samples are used with all the variability we can imagine for this type of product.

You can see the videos:

How Deep Neural Networks work?
What do Neural Networks learn?

for a better understanding of how ANN works.