Estimating oxygen consumption of rainbow trout (Oncorhynchus mykiss) in a raceway: A Precision Fish Farming approach

Royer, Edouard; Faccenda, Filippo; Pastres, Roberto

doi:10.1016/j.aquaeng.2020.102141

Cited by 12 publications

(13 citation statements)

References 22 publications

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“…197), as used in other industrial fields. Current FSMs could be combined with data‐assimilation and machine‐learning techniques, if appropriately calibrated, to produce short‐term predictions of DO concentration dynamics on a farm 198 . As discussed (Section 3.4.3.1), current FSMs represent DO concentration on farms with differing degrees of complexity, so developing specific ‘oxygen‐simulation modules’ that can be adapted to different farm settings (i.e.…”

Section: Applications Of Interest For the Eaamentioning

confidence: 99%

Farm‐scale models in fish aquaculture – An overview of methods and applications

Chary

Brigolin

Callier

2022

Reviews in Aquaculture

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Models are important tools to address sustainability challenges associated with developing aquaculture at farm, regional and global scales. Farm-scale models (FSMs), which are integrated mathematical models developed to simulate farm operations, can quantify energy, mass or economic input flows and predict a variety of outputs such as fish biomass, waste and by-products. The variety of farming systems, equa-

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Section: Applications Of Interest For the Eaamentioning

confidence: 99%

Farm‐scale models in fish aquaculture – An overview of methods and applications

Chary

Brigolin

Callier

2022

Reviews in Aquaculture

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“…The expected value of DO, Eq. 1 in Table 1, is estimated based on the following assumptions (see also Royer et al, 2021): (1) the raceway is well mixed;…”

Section: Application Of Cd-kf To the Do Modelmentioning

confidence: 99%

“…Their estimation in real world applications of the KF algorithm could be critical: in this paper, the methodology applied in Pastres et al (2003) to a model simulating DO dynamics in a water body was used. The value of the parameter R 15 was taken from Royer et al (2021). The variances of the two state variables of the augmented state vector obtained from the calibration were subsequently used for estimating the system noise, represented by the diagonal matrix Q.…”

Section: State Covariancementioning

confidence: 99%

“…Bolliet et al (2004) highlighted the importance of adequately phasing the food distribution with internal rhythms associated with nutrient partitioning. Royer et al (2021) showed that the daily pattern of oxygen concentration in a trout farm can be simulated using a model of DO dynamics: in this study, fish respiration was modelled using a sinusoidal function. However, the daily mean value, phase and amplitude may vary from day to day, due to changes in feeding regimes, fish health and fluctuations in environmental, non-controllable, variables, e.g.…”

Section: Introductionmentioning

confidence: 99%

“…fish biomass and size distribution. Royer et al (2021) applied this approach to a trout farm case study in Northern Italy, showing that this methodology can improve both the economic and environmental sustainability.…”

Section: Introductionmentioning

confidence: 99%

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Data assimilation as a key step towards the implementation of an efficient management of dissolved oxygen in land-based aquaculture

Royer

Pastres

2022

Aquacult Int

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A data assimilation (DA) methodology, e.g. the continuous-discrete Kalman filter (CD-KF), was applied to the assimilation of dissolved oxygen data, in order to obtain a dynamic estimation of the oxygen demand in a land-based aquafarm. The CD-KF was implemented on a dynamic model, which included as state variables the concentration of dissolved oxygen (DO) and fish respiration rate: the latter was considered as a non-observable stochastic variable. The model was applied to a 1-month long set of observations collected at a raceway rainbow trout farm, including (1) hourly time series of water temperature and dissolved oxygen concentration in the raceway influent and effluent and (2) a daily time series of fish number and fish weight distribution. The results show that the assimilation of DO data led to a dynamic estimate of DO demand which showed changes in the daily mean and the daily pattern: these were related to changes in the feeding regime. Furthermore, the methodology provided accurate short-term predictions of the DO concentration also in the presence of short-term fluctuations, which would be very difficult to relate to external forcings in a mechanistic model. These findings indicate that DA could be effectively used to design and implement efficient and robust control systems for optimizing the oxygen supply, thus contributing to the implementation of Precision Fish Farming in land-based aquafarms.

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