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Digital twins for land-based aquaculture: A case study for rainbow trout ( Oncorhynchus mykiss).
Lima, Adriano C; Royer, Edouard; Bolzonella, Matteo; Pastres, Roberto.
Afiliación
  • Lima AC; Department of Environmental Sciences, Informatics and Statistics, Università Ca' Foscari Venezia, Campus Scientifico, via Torino 155, Mestre, Venice, 30172, Italy.
  • Royer E; Atlantic International Research Centre (AIR Centre), Parque de Ciência e Tecnologia da Ilha Terceira, Angra do Heroísmo, Azores, 9700-702, Portugal.
  • Bolzonella M; Department of Environmental Sciences, Informatics and Statistics, Università Ca' Foscari Venezia, Campus Scientifico, via Torino 155, Mestre, Venice, 30172, Italy.
  • Pastres R; Department of Environmental Sciences, Informatics and Statistics, Università Ca' Foscari Venezia, Campus Scientifico, via Torino 155, Mestre, Venice, 30172, Italy.
Open Res Eur ; 2: 16, 2022.
Article en En | MEDLINE | ID: mdl-37664784
A digital twin is set up for a rainbow trout ( Oncorhynchus mykiss) aquaculture farm located in northern Italy. The farm is equipped with large-scale basins, and are supplied by freshwater from the neighbouring Sarca river. Generally speaking, digital twins are virtual, digital representations which mirror and are connected to real objects, enabling real-time and remote management, as well as the reproduction of real or forecasted scenarios. This is a pioneer application aimed at supporting producers in optimizing feeding practices, oxygen supply and fish population management with respect to 1) fish growth performances; 2) fish welfare, and 3) environmental loads. The digital twin relies on sensors, Big Data, IoT (Internet of Things) and predictive mathematical models. In spite of its potential, and not only in the aquaculture sector, the development of digital twins is still at its early stage. Furthermore, Precision Fish Farming applications in land-based systems as well as targeted at rainbow trout are novel developments.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Open Res Eur Año: 2022 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Open Res Eur Año: 2022 Tipo del documento: Article País de afiliación: Italia
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