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E!114944 AutoHatch. Det første automatiserte hummerklekkeriet som kan møte etterspørselen etter høykvalitets hummeryngel og porsjonshummer

Alternativ tittel: E!114944 AutoHatch. The first ever automated hatchery solution to meet demand for high quality European Lobster.

Tildelt: kr 5,8 mill.

Prosjektnummer:

323717

Prosjektperiode:

2021 - 2023

Midlene er mottatt fra:

Samarbeidsland:

Vi har utviklet, testet og validert automatiserte og robotiserte løsninger for telling, bildebehandling og sortering av yngel i ulike stadier. Basert på kunstig intelligens (AI) og Computer Vision Systemer (CVS) har vi lykkes med å realisere alle mål i prosjektet, inkludert telling av antall yngel som kommer fra alfanumerisk merkede stamdyr (levende genbank), når på døgnet yngelen klekker, normalfordelingskurven på klekkeperioden for dermed for første gang kan kvantifisere overlevelse fra klekking til bunnslått stadie (stadie IV). Vi har også utviklet en automatisk innsettingsrobot som setter inn 1 stk IV stadie til hvert enkelt bur- hastigheten på denne er industrialiserbar med 512 IV stadier (1 kassett) på 3 minutter. Hastigheten på "recognition" og klassifisering er 50 millisekund. Utover dette, har vi også utviklet og testet 2 ulike fôrdietter tilpasset hummerens ernæringsmessige behov og krav i de tidlige livsstadier og som har gitt opp til 30% overlevelse. Men dette krever mer FoU for å implementere i kommersiell produksjon.

The AutoHatch project has achieved significant progress towards supplying a year-round fully automatic production of high-quality IV stage larvaes. Further it strengthen our requirements for commercial capacities of benthic larvaes into our commercial production of plate-sized lobsters. This will reduce the fishing pressure of the near depleted wild stock and represents an alternative source to meet the ever growing demand in the market for European lobster. By increasing yield and survival of hatchery reared juveniles, we will directly contribute to reduce our need to fish wild breeders, in addition to our self-imposed requirement to release larvaes back into the wil to support wild stocks.

AutoHatch builds on the ongoing H2020-funded AutoMarus led by NLF, in collaboration with ECS and the Eurostars Devaela project. Each project has a unique focus: AutoMarus concerns maturing single-caged EL beyond J-IV, based on Devaela R&D (2016-17). AutoHatch concerns automation ZL hatcheries in the stages up until J-IV. A fibreglass shelf “superstructure” to be shared between cages and incubators has already been prototyped for operational flexibility. AutoHatch takes a multidisciplinary approach to solving the challenges inherent in the project. The challenges include ZL biology, ICT, automation engineering and internal hatchery logistics within and between incubators, incl. transfer to single-cages. We start out by confirming the survival and growth rates of ZL through the incubator water flow and the feed composition. Significantly improving the survival (5%->20%) and growth rate (J-IV maturation in 15 days from 21 days today) are among the goals for commercial success of AutoHatch. Survival and growth rates will be improved by: A) Enabling timely and accurate feeding of the ZL incubator batch. B) Implementing timely and accurate sorting of J-IVs. Both depend on developing the EL-specific automation and CVS. C) Implementing an in-depth mapping of J-III and by novel feed composition to achieve continuously improved survival and growth rates.

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