Explore the words cloud of the SMARTFISH project. It provides you a very rough idea of what is the project "SMARTFISH" about.
The following table provides information about the project.
SINTEF OCEAN AS
|Coordinator Country||Norway [NO]|
|Total cost||6˙961˙540 €|
|EC max contribution||5˙976˙764 € (86%)|
1. H2020-EU.3.2.3. (Unlocking the potential of aquatic living resources)
|Duration (year-month-day)||from 2018-01-01 to 2021-12-31|
Take a look of project's partnership.
|1||SINTEF OCEAN AS||NO (TRONDHEIM)||coordinator||1˙600˙000.00|
|2||DANMARKS TEKNISKE UNIVERSITET||DK (KGS LYNGBY)||participant||1˙031˙178.00|
|3||THE SECRETARY OF STATE FOR ENVIRONMENT, FOOD AND RURAL AFFAIRS||UK (LONDON)||participant||600˙000.00|
|4||MARINE SCOTLAND||UK (ABERDEEN)||participant||481˙875.00|
|5||FUNDACION AZTI - AZTI FUNDAZIOA||ES (SUKARRIETA)||participant||464˙200.00|
|6||UNIVERSITY OF EAST ANGLIA||UK (NORWICH)||participant||438˙358.00|
|7||SINTEF AS||NO (TRONDHEIM)||participant||300˙735.00|
|8||MARPORT FRANCE||FR (Ploemeur)||participant||300˙000.00|
|9||SAFETYNET TECHNOLOGIES LIMITED||UK (TONBRIDGE)||participant||120˙085.00|
|10||NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET NTNU||NO (TRONDHEIM)||participant||117˙250.00|
|11||UNIVERSITY OF CUKUROVA||TR (ADANA)||participant||90˙000.00|
|12||MERSIN UNIVERSITESI||TR (MERSIN)||participant||86˙400.00|
|13||MELBU SYSTEMS AS||NO (MELBU)||participant||66˙244.00|
|14||ZUNIBAL SL||ES (DERIO)||participant||61˙936.00|
|15||NERGARD HAVFISKE AS||NO (HARSTAD)||participant||60˙585.00|
|16||INTERFISH PRODUCER ORGANISATION LIMITED||UK (PLYMOUTH)||participant||60˙068.00|
|17||PESQUERAS HERBON SL||ES (DONOSTIA S GIPUSKOA)||participant||52˙647.00|
|18||LARRASMENDI BI SOCIEDAD LIMITADA||ES (ONDARROA)||participant||45˙199.00|
|19||PATXIKU BERRIA CB||ES (GETARIA)||participant||0.00|
|20||STIFTELSEN SINTEF||NO (TRONDHEIM)||participant||0.00|
The objective of SMARTFISH is to develop, test and promote a suite of high-tech systems for the EU fishing sector, to optimize resource efficiency, to improve automatic data collection for fish stock assessment, to provide evidence of compliance with fishery regulations and to reduce ecological impact. SMARTFISH exploits technological developments in machine vision, camera technology, data processing, machine learning, artificial intelligence, big data analysis, smartphones/tablets, LED technology, acoustics and ROV technology to build systems for monitoring, analyzing and improving processes for all facets of the fishing sector, from extraction, to assessment, to monitoring and control. The SMARTFISH systems will: - assist fishermen in making informed decisions during pre-catch, catching, and post-catch phases of the extraction process. This improves catch efficiencies and compositions in fisheries across the EU, leading to improved economic efficiency while reducing unintended fish mortality, unnecessary fishing pressure and ecosystem damage. - provide new data for stock assessment from commercial fishing and improve the quality and quantity of data that comes from traditional assessment surveys. This provides more accurate assessment of currently assessed stocks and allow the assessment of data-poor stocks. - permit the automatic collection of catch data to ensure compliance with fisheries management regulations. The SMARTFISH systems are tested and demonstrated in several EU fisheries. This contributes to promoting the uptake of the systems by extraction sector and fisheries agencies. An interdisciplinary consortium with technology developers and instrument suppliers, fishing companies, research and fisheries management institutes and universities will realize SMARTFISH. They are active at national and international levels and well placed to ensure the uptake of SMARTFISH systems by fishing industry and fisheries managers and stock assessment scientists.
|FishData system specification||Documents, reports||2020-03-24 14:09:08|
|Data Management Plan||Open Research Data Pilot||2020-03-24 14:09:08|
|Internet presence||Websites, patent fillings, videos etc.||2020-03-24 14:09:08|
Take a look to the deliverables list in detail: detailed list of SMARTFISH deliverables.
|year||authors and title||journal||last update|
Geoff French, Michal Mackiewicz, Mark Fisher, Helen Holah, Rachel Kilburn, Neil Campbell, Coby Needle
Deep neural networks for analysis of fisheries surveillance video and automated monitoring of fish discards
published pages: , ISSN: 1054-3139, DOI: 10.1093/icesjms/fsz149
|ICES Journal of Marine Science||2020-03-24|
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The information about "SMARTFISH" are provided by the European Opendata Portal: CORDIS opendata.