FishMet - a digital twin for smart feeding of fish

FishMet er en banebrytende digital tvilling teknologi designet for å forbedre måten vi fôrer fisk på. FishMet er en digital representasjon av en fisk, nøye skapt gjennom avanserte datasimuleringer og omfattende biologisk forskning. Ved å nøyaktig forutsi fiskens appetitt og atferd, hjelper FishMet fiskeoppdrettere med å optimalisere fôringsstrategier, noe som fører til sunnere fiskevekst med minimalt avfall. Skreddersydd for regnbueørret og atlantisk laks integrerer FishMet data om fiskens fysiologi, miljøforhold og fôringsplaner for å gi presise sanntidsinnsikter. I motsetning til tradisjonelle metoder, som er avhengige av generelle fôringstabeller og manuelle observasjoner, tilbyr FishMet en tydelig og intuitiv modell basert på fiskebiologi. Denne innovative tilnærmingen forbedrer ikke bare beslutningstaking, men reduserer også fôrkostnader og miljøpåvirkning. FishMet er satt til å revolusjonere akvakulturindustrien ved å muliggjøre smartere og mer bærekraftig fiskeoppdrett. Denne teknologien har som mål å sikre en sunnere fremtid for både havet og matfatet vårt.

The FishMet technology has the potential to bring significant benefits to society by promoting a more efficient, environmentally friendly, and sustainable aquaculture industry. For example: - The FishMet technology will significantly reduce feed waste in fish farming by optimizing feeding strategies based on precise predictions of fish appetite and behavior. This can lead to more efficient resource use and reduced costs for fish farmers. - By minimizing feed waste, the negative environmental impacts such as chemical imbalance in the water, changes in pH levels, turbidity, algal blooms, and biological oxygen demand are reduced. This helps protect both coastal ecosystems and optimize recirculating aquaculture systems (RAS) operation. - Maximizing the performance of available feed can contribute to healthy growth in the aquaculture industry. This is crucial for meeting the increasing global demand for sustainable protein and supports the United Nations' sustainable development goal 14.1 to prevent and significantly reduce marine pollution. - Optimal feeding based on biological needs can improve fish health and welfare. This can lead to better growth conditions and reduced mortality rates in aquaculture facilities. - Streamlining the feeding process can provide economic benefits to fish farmers by reducing operational costs. This can increase profitability and competitiveness in the increasingly technology-driven aquaculture industry. - FishMet represents a novel approach to fish farming by combining advanced data modeling with deep biological knowledge. This innovation can stimulate further technological development and research in aquaculture, fostering collaboration between research institutions and industry. - The biology-driven model allows simulation of various scenarios and operational changes without the need for expensive in-situ experiments. This can reduce costs associated with physical testing and construction modifications.