Using Image Analysis to Predict the Weight of Alaskan Salmon of Different Species

After harvesting, salmon is sorted by species, size, and quality. This is generally manually done by operators. Automation would bring repeatability, objectivity, and record-keeping capabilities to these tasks. Machine vision (MV) and image analysis have been used in sorting many agricultural produc...

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Veröffentlicht in:	Journal of food science 2010-04, Vol.75 (3), p.E157-E162
Hauptverfasser:	Balaban, MuratO, Ünal Şengör, GülgünF, Soriano, Mario Gil, Ruiz, Elena Guillén
Format:	Artikel
Sprache:	eng
Schlagworte:	accuracy animal development Animals Artificial Intelligence Automation Automation - methods Biological and medical sciences body conformation Body Size Body Weight Correlation Correlation analysis equations Fish Fish and seafood industries Fisheries - methods food analysis Food industries Food science Fundamental and applied biological sciences. Psychology hump development Image analysis image processing Image Processing, Computer-Assisted Machine vision Mathematical analysis Oncorhynchus - growth & development Oncorhynchus gorbuscha Oncorhynchus keta Oncorhynchus kisutch Oncorhynchus nerka prediction Regression Analysis Salmon Scientific imaging Size Sorting species differences Vision systems Weight
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