A Novel Machine-Learning Framework Based on a Hierarchy of Dispute Models for the Identification of Fish Species Using Multi-Mode Spectroscopy

A Novel Machine-Learning Framework Based on a Hierarchy of Dispute Models for the Identification of Fish Species Using Multi-Mode Spectroscopy

Seafood mislabeling rates of approximately 20% have been reported globally. Traditional methods for fish species identification, such as DNA analysis and polymerase chain reaction (PCR), are expensive and time-consuming, and require skilled technicians and specialized equipment. The combination of s...

Full description

Bibliographic Details
Main Authors: Mitchell Sueker, Amirreza Daghighi, Alireza Akhbardeh, Nicholas MacKinnon, Gregory Bearman, Insuck Baek, Chansong Hwang, Jianwei Qin, Amanda M. Tabb, Jiahleen B. Roungchun, Rosalee S. Hellberg, Fartash Vasefi, Moon Kim, Kouhyar Tavakolian, Hossein Kashani Zadeh
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Sensors
Subjects:
fish species identification
machine learning
multi-mode spectroscopy
dispute models
data fusion
classification
Online Access:https://www.mdpi.com/1424-8220/23/22/9062

Internet

https://www.mdpi.com/1424-8220/23/22/9062

Similar Items