A digital model of the fish population Clarias gariepinus species development for creation industrial fish farm digital twin based on IIoT technology with the possibility of predictive analytics

K.U. Mokshin, M.G. Zhabitskii, U.A. Andrienko


The study object is the management process of aquatic biological production in terms of modeling for commercial fish populations of the species Clarias gariepinus (African clarium catfish) development. The purpose of the work is to develop a digital model that provides forecasting and visualization of the fish population development indicators under the production factors influence. A mathematical core has been developed for vital processes modeling of the clary catfish population within the framework of aquabiological production. Ways to refine the model for its further use in the integrated system of the aquabiotechnological production digital twin based on the industrial Internet of Things are discussed. The scenario for the implementation of the model is a module for forecasting and visualizing indicators of the fish population development under the influence of various factors of production. The digital system introduction will optimize the aquabiotechnological production management, avoid conducting experiments to find effective parameters of the population's vital activity on live individuals, increase farm productivity by optimizing the fish populations life cycle.

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Fish to 2030. Prospects for Fisheries and Aquaculture – URL: fao.org›3/a-i3640e.pdf (Accessed:: 02.04.2022).

FAO. 2018. The State of World Fisheries and Aquaculture – URL: http://www.fao.org/3/i9540EN/i9540en.pdf (Accessed: 29.03.2022).

Federal Agency of Fisheries 09.07.2021– URL: https://fish.gov.ru/news/2021/07/09/mirovoe-potreblenie-rybyuvelichilos-do-212-kg-na-cheloveka-k-2030-godu-fao/ (Accessed: 02.04.2022).

Federal Agency of Fisheries 11.04.2022– URL: https://fish.gov.ru/news/2022/04/11/proizvodstvo-rybnojprodukczii-v-strane-vyroslo-na-2-i-dostiglo-628-tys-tonn-v-tom-chisle-za-schyotvypuska-rybnogo-file/ (Accessed: 11.04.2022).

Fore, M., Frank, K., Norton, T., Svendsen, E., Alfredsen, J.A., Dempster, T., Eguiraun, H., Watson, W., Stahl, A., Sunde, L.M., Schellewald, C., Skoien, K.R., Alver, M.O., Berckmans, D. (2018) Precision fish farming: A new framework to improve production in aquaculture Biosystems Engineering, 173, pp. 176- 193

Lagasco, F., Collu, M., Mariotti, A., Safier, E., Arena, F., Atack, T., Brizzi, G., Tett, P., Santoro, A., Bourdier, S., Salcedo Fernandez, F., Muggiasca, S., Larrea, I. (2019) New engineering approach for the development and demonstration of a multipurpose platform for the blue growth economy. Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE, 6

Digital transformation model based on the digital twin concept for intensive aquaculture production using closed water circulation technology M G Zhabitskii, Y A Andryenko, V N Malyshev, S V Chuykova and A A Zhosanov IOP Conference Series: Earth and Environmental Science, Volume 723, Mechanization, engineering, technology, innovation and digital technologies in agriculture

A Digital Twin of Intensive Aquabiotechnological Production Based on a Closed Ecosystem Modeling & Simulation Zhabitskii M., Andrienko Y., Malyshev V., Chuykova S., Zhosanov A.Proceedings of the 33rd European Modeling & Simulation Symposium (EMSS 2021), pp. 247-252. DOI: https://doi.org/10.46354/i3m.2021.emss.034

Conceptual project of partial automation of recirculation aquaculture farm / Dmitry Grigorev, Daria Bolgova // International Journal of Open Information Technologies ISSN: 2307-8162 vol. 9, no. 8, 2021. – p. 52-57.

Environmental monitoring and assessment of toxicological safety of water bodies of the Republic of Tatarstan / A.R. Makaeva // Kazan, FSNBU "FTTSRB-VNIVI" 2017. – p.3-102.


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