Acronym DigiHeart
Category
Aquaculture
Title Machine learning applied to predicting and preventing production loss in aquaculture Programme National Programme
Instrument (FP6)
Contact Type (FP7)
Strand (Interreg)
NA
Theme (FP7)
Activity Area (FP6)
Regional Area (Interreg)
Action (COST)
NA
Specific Programme (FP7)
NA
Funding source National Coordinator Ida Beitnes Johansen Coordinator email NA
Coordinator institution
NMBU - Norwegian University of Life Sciences (Norway)
Institutions involved
DNV - Det Norske Veritas (Norway) ,
NA - Fiskaaling P/F (Faroe Islands) ,
NOFIMA - Norwegian Institute of Food, Fisheries and Aquaculture Research (Norway) ,
NA - Oslo University Hospital (Norway) ,
SLU - Swedish University of Agricultural Sciences (Sweden) ,
UGOT - University of Gothenburg (Sweden) ,
Start year 2021 End year 2024 Funding (€) € 499,500 Website https://www.nordforsk.org/projects/machine-learning-applied-predicting-and-preventing-production-loss-aquaculture-digiheart Summary Every year, up to 20% of farmed salmonids die before slaughter. Episodes of mortality happen during stressful incidents and interventions such as parasite treatment, deteriorating water quality, and transport to slaughter. Large fish that die during stressful procedures before slaughter is of particular concern, considering the investment required for growing fish to this size. Such mortality is a serious welfare issue and poses a considerable obstacle to sustainability, ethics and economy of the Nordic aquaculture industry. Currently, the causes of stress-related mortality are uncertain, but an increasing body of evidence suggests that the majority die from heart failure due to abnormal heart shapes or other types of heart disease. We have access to preliminary data that link cardiac morphology to cardiac morbidity and stress-induced mortality. Thus, abnormal heart shape may represent a novel and promising indicator of heart function, performance and risk of mortality. There are likely several causes underlying development of heart disease in farmed salmonids. Similar to humans, development of heart disease in fish may be linked to factors such as diet, physical activity, physical condition and stress from the environment. The DigiHeart project, a consortium of researchers and industry partners form Norway, Sweden and the Faroe Island will develop technology and control systems that use machine learning to continuously survey data about all these factors, in addition to operational and environmental conditions to identify causes behind heart disease and mortality in farmed salmonids. In addition, the project will develop on-site tools to evaluate mortality risk prior to stressful operational practices on fish farms. Thus, by identifying factors leading to heart disease and mortality and developing tools that can predict performance and mortality, the consortium aims at improving sustainability and animal welfare and reducing mortality in salmonid aquaculture.
Keywords
Disease;
Fish health;
Diagnostic application;
Salmon;
Technology;
Fish;
Marine Region
76
Not associated to marine areas
0
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