SMARTFISH. Smart fisheries technologies for an efficient, compliant and environmentally friendly fishing sector.
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.
01.01.2018 – 17.01.2023 HÜSEYİN ÖZBİLGİN, MEHMET TAHİR ALP, YELİZ ÖZBİLGİN, EROL YAŞAR
Trol Ağzında Balık Davranışları ve Kurşun Yaka Modifikasyonlarının Tür Seçiciliğine Etkisi
01.09.2015 – 28.12.2018 HÜSEYİN ÖZBİLGİN, GÖKHAN GÖKÇE, ESİN YALÇIN, YELİZ ÖZBİLGİN, MEHMET TAHİR ALP, BAYBARS SAĞLAMTİMUR, OĞUZHAN DEMİR, EBRUCAN KALECİK, EMRE FAKIOĞLU, ALİ CEMAL GÜCÜ
Mersin Körfezi Trol Balıkçılığında Tür ve Boy Seçiciliğini Arttırmaya Yönelik Araştırmalar
Trol ağlarında seçicilik ve tür davranışlarının gözlenmesi
01.06.2010 – 31.05.2013 HÜSEYİN ÖZBİLGİN, GÖKHAN GÖKÇE, YELİZ ÖZBİLGİN, AHMET RAİF ERYAŞAR, EBRUCAN KALECİK, ADEM SEZAİ BOZAOĞLU
Kuzeydoğu Akdeniz Balıkçılığının Yapısal Analizi
MERSİN ÜNİVERSİTESİ 04.06.2007 – 06.06.2008 YELİZ ÖZBİLGİN, GÖKHAN GÖKÇE, HÜSEYİN ÖZBİLGİN, OKTAY ÇELİK, VAHDET ÜNAL, ADNAN TOKAÇ
Barbun Isparoz Çipura ve Mercan Balıklarının Maksimum Gönüllü Yüzme ve Beyaz Kas Kasılım Hızlarının Ölçülmesi
Balıklarda Yüzme Davranışı
02.06.2003 – 06.06.2005 HÜSEYİN ÖZBİLGİN, Başaran Fatih, MURAT PEHLİVAN, YELİZ ÖZBİLGİN
Geleneksel dip trol ağlarında bakalyaro (Merluccius merluccius) ve tavuk (Trisopterus minutus capelanus) balığının seçiciliğinin farklı torba tasarımları ile geliştirilmesi
Trol Seçiciliği
MERSİN ÜNİVERSİTESİ 30.06.2003 – 01.07.2004 ZAFER TOSUNOĞLU, HÜSEYİN ÖZBİLGİN, ADNAN TOKAÇ, CELALETTİN AYDIN, YELİZ ÖZBİLGİN, İLKER AYDIN
Barbun Mullus barbatus Isparoz Diplodus annularis Çipura Sparus aurata ve Kırma Mercan Pagellus erythrinus balıklarının yüzme dayanımları ve maksimum gönüllü yüzme hızlarının ölçülmesi
yüzme davranışı
MERSİN ÜNİVERSİTESİ 02.09.2001 – 26.12.2003 HÜSEYİN ÖZBİLGİN, YELİZ ÖZBİLGİN, Fatih Başaran