A comparison study of various chemometric approaches, including LS-SVM, for large near-infrared spectroscopic data of feed and feed products found an RMS improvement of 10% to 24%, according to a white paper published in 2011.
This substantial improvement is quite meaningful and will soon be commercially implemented on Bruker’s FT-NIR platforms providing the very best accuracy and stability. Within the food and agriculture industries there are fantastic challenges and rich opportunities for those inclined to apply their professional skills in developing models and computational solutions.
