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Predicting Crawfish Molting with Machine Vision
Authors:Toine  Timmermans  Frederick E  Sistler Thomas B  Lawson
Institution:Louisiana State University Agricultural Center, Louisiana Agricultural Experiment Station, Department of Biological and Agricultural Engineering, 175 E. B. Doran Building, Baton Rouge, Louisiana 70803–4505 USA
Abstract:The objective of this project was to develop a vision system that could predict when crawfish will molt. Different sections of the crawfish shell were examined to determine how the color changed as the time of molting approached. A strip on the tail section of the crawfish showed the greatest, most consistent color change. The average red/green × red/blue ratio decreased for every crawfish as the molting time approached. Using this ratio as a predictor, it was possible to predict the molting of a crawfish within 3 d with an accuracy greater than 80%. The limitation on accuracy was primarily the result of the large variations in natural shell color among the crawfish.
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