Pubblicazione scientifica

Tuna Meat Freshness Classification through Computer Vision

FILONE TECNOLOGICO	TEMA
trasformazione e commercializzazione

RIASSUNTO

The Yellow Fin Tuna or Thunnus albacares is one of the most expensive in the family of tuna. Yellow Fin Tuna is the most common fish found and caught in tropical countries like the Philippines. This kind of tuna is caught by hand-lining or in the fishnet. The tuna is commonly exported or sold as cuts in the market, and there are times that tuna sold in the market are no longer fresh. Classifying the freshness of tuna meat cut is the main objective of this study. In this study, identifying the freshness of tuna meat cut was analyzed using RGB extraction. Photos of tuna meat cuts were captured using a Raspberry Pi and transmitted to a mobile phone for image processing. The cuts were classified using k-Nearest Neighbours (k-NN) algorithm and Waikato Environment for Knowledge Analysis (WEKA) in terms of the number of hours from slaughter. The result showed 86% overall accuracy in determining tuna meat freshness.

DATA

Data di pubblicazione: 01/11/2019

AUTORI

KENAN LUGATIMAN
CRISANTO FABIANA
JAIRO ECHAVIA
JETRON J ADTOON

ENTE DI AFFERENZA

UNIV MINDANAOCOMPUTER ENG PROGRAMDAVAO CITYPHILIPPINES

RIVISTA

2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM ) (Page(s): 1-6)

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