Physical Sciences and Mathematics Commons^™

Identification Of Errors In Cotton Fiber Data Sets Using Bayesian Networks, G F. Sassenrath, J. E. Boggess, Xintong Bi, H. C. Pringle

Conference on Applied Statistics in Agriculture

Cotton fiber is graded on a series of parameters based on physiological factors (strength, length, and thickness), lint color, and presence of non-lint matter such as leaves, stems or other foreign materials. Cotton lint is graded by the USDA-AMS after harvest and ginning, and the grade determines the price of the lint. Given the importance of cotton fiber quality to the value of the crop, the spatial variability of cotton fiber properties is of particular interest to researchers and producers in developing management scenarios for optimal profitability. Previous research studies have relied on hand-harvesting the cotton at intervals throughout the …