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Non-invasive estimation of extraneous matter levels in sugar mill inputs

Year Published
2004

Non-invasive estimation of extraneous matter levels in sugar mill inputs

 

Author: J.R. Tulip, W.E. Moore, and K. Wilkins

 

Affiliation: School of Information Technology, Charles Sturt University, Bathurst, Australia

 

Publisher: International Sugar Journal March 2004, Vol 106, No. 1263

 

Keywords: extraneous matter, visual to very near infrared (VIS/NIR), cane/trash classification

 

Pages: 178 - 185