FishMet model: The Technical Documentation
The FishMet model is a mechanistic, nonparametric, process-based simulation model of fish appetite and feed intake aimed to aquaculture and behavioural ecology. By incorporating mechanistic representation of various processes and signals that control fish appetite, decision-making, behavior and feeding, FishMet can potentially account for complexity, stochasticity, emergent effects etc. The model works at the fine-grained level of individual feed items and individual decisions of the fish. This potentially allow for complex simulations with variable feed, schedules, changing and stochastic environment. In turn, this will use it for decision support in aquaculture.
The basic model is released at the AGPL license.
Publication:
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Budaev, S., Cusimano, G., & Rønnestad, I. (2024). Fishmet: A Digital Twin framework for appetite, feeding decisions and growth in salmonid fish. SSRN Scholarly Paper https://dx.doi.org/10.2139/ssrn.4883821 (PDF).
