Object recognition algorithm for the automatic identification and removal of invasive fish

Invasive fish species are a growing threat worldwide, causing great harm to biodiversity and ecosystems, and leading to large economic losses. As the most introduced group of aquatic animals in the world, fish are also one of the most threatened. For species that are considered invasive, removing th...

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Bibliographic Details
Published in:	Biosystems engineering Vol. 145; pp. 65 - 75
Main Authors:	Zhang, Dong, Lee, Dah-Jye, Zhang, Meng, Tippetts, Beau J., Lillywhite, Kirt D.
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.05.2016
Subjects:	Algorithms Automation biodiversity Classification Computer vision data collection ECO-Features Economics ecosystems experts financial economics Fish Fish species recognition humans indigenous species invasive species Invasive species monitoring monitoring Monitors Object recognition Standard deviation statistical analysis Computer vision Invasive species monitoring Fish species recognition ECO-Features
ISSN:	1537-5110, 1537-5129
Online Access:	Get full text
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