Intelligent Signal Image Processing Techniques for Aquaculture Application

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F10%3APU89769" target="_blank" >RIV/00216305:26220/10:PU89769 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Intelligent Signal Image Processing Techniques for Aquaculture Application

Original language description

This paper proposes the use of intelligent signal image processing techniques to detect fish parasites. In order to resolve parasite related health problems in fish, which have negative economic consequences. To increase profits, there is a tendency among fish farmers to maximise production leading to disease problems, including those associated with parasitic pathogens. Among the fish parasites, ectoparasite worms of the Class Monogenea remain a particularly intransigent economic burden for the globalfreshwater and marine aquaculture industries. One of the most widespread groups of Monogenean parasites is the genus Gyrodactylus, whose members are common ectoparasite Monogeneans of fish within both aquaculture and wild capture fisheries.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JA - Electronics and optoelectronics

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2010

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

SICSA PhD Conference 2010

ISBN

0-02-919235-8

ISSN

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e-ISSN

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Number of pages

4

Pages from-to

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Publisher name

Neuveden

Place of publication

Edinburgh, UK

Event location

Edinburgh

Event date

Jun 9, 2010

Type of event by nationality

CST - Celostátní akce

UT code for WoS article

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