NIR Technique in the Classification of Cotton Leaf Grade

Wednesday, January 9, 2013: 2:00 PM
Conf. Room 12 (Marriott Rivercenter Hotel)
Yongliang Liu , USDA, ARS
Jonn Foulk , FX-Fibers LLC
Near infrared (NIR) spectroscopy, a useful technique due to the speed, ease of use, and adaptability to on-line or off-line implementation, has been applied to perform the qualitative classification and quantitative prediction on a number of cotton quality indices, including cotton trash.  One term to assess the degree of trash amount is leaf grade, which is determined by qualified USDA’s AMS cotton classers via a visual inspection procedure. Recently, the AMS revised the protocol for cotton leaf grade classification, by replacing the classer’s leaf determination with instrumental leaf measurement from cotton classification HVITM system. In this study, visible/NIR spectra were collected to explore the feasibility for the discrimination of cotton samples with various leaf grade categories.