Fish Production Research Articles

A multiscale and multiperspective quantifying framework for spatial patterns and influencing mechanisms of geographical indications

Geographical indications (GIs) embody distinctive regional elements characterized by widespread spatial distribution, serving as vital agricultural intellectual properties and significant tourism assets. This case study introduces a multiscale and multi-perspective quantification framework for Shandong Province, focusing on spatial agglomeration, association, and heterogeneity. This approach quantitatively explores GIs’ spatial patterns and influencing mechanisms, analyzing both at the monomer and regional scales, considering static and dynamic perspectives. Leveraging methods such as kernel density analysis, Moran’s I index, Geary’s C index, Internet hot word analysis, and Geodetector, the coastal municipalities, prosperous urban areas, and zones with high-quality arable soils were identified as spatial agglomeration areas for GIs. The study revealed a strong correlation between the spatial distribution pattern of socioeconomic factors and GIs’ spatial density from a static perspective. However, diminished spatial autocorrelation was observed for GIs’ public perception from a dynamic standpoint, indicating a reduced influence of Internet connectivity. The spatial heterogeneity in GIs is determined by multiple interconnected factors, displaying an enhancement effect between any two influencing factors. Among the 15 influencing factors analyzed, urbanization rate; gross value of agricultural, forestry, animal husbandry, and fishery production; and per capita gross domestic product significantly contribute to spatial heterogeneity effects at both urbanization rate, gross value of agriculture, forestry, animal husbandry, fishery production, and per capita gross domestic product significantly contributed to spatial heterogeneity effects at regional and monomer scales. The results suggest that GIs are likely to flourish with regional economic growth. The analytical framework and quantification methods support exploring and sustainably utilizing GIs, improving output quality, and modernizing GIs’ production, ultimately contributing to regional agriculture’s high-quality and sustainable development.

Estimation of suspended sediment load to the Volta Lake under changing climate using empirical discharge-sediment equations

ABSTRACT Reliable estimates of sediment fluxes into rivers provide valuable information for current and future water resource development and management. In this study, empirical equations relating discharge to suspended sediment loads were developed for the three major tributaries (Black Volta, White Volta, and Oti) of the Volta Lake. The empirical equations were fed with projected future river discharges for the three tributaries, to estimate the suspended sediment fluxes into the Volta Lake for the future (2051–2080) relative to a baseline period (2014–2016). The Soil and Water Assessment Tool (SWAT) was used to model the projected discharges. The SWAT model was driven by downscaled climate projections from two regional climate models (RCA4 and RACMO22 T) forced by two emission scenarios (RCP 4.5 and RCP 8.5) from the IPCC Fifth Assessment. Compared to the baseline, the estimated future sediment fluxes show average increments of about 19% and 28%, respectively under RCP 4.5 and RCP 8.5. This has negative consequences as less water is stored for hydropower generation and the lake water becomes more turbid, which inhibits zooplankton and fishery production. The result underscores the need to improve the management of the Lake's watershed by ensuring proper landcover/use planning, afforestation and enforcing regulations on land degradation and general environmental conservation.

A Comprehensive Review on : Aquaponic Farming Water Quality Prediction

Aquaponic farming, which combines aquaculture and hydroponics, depends strongly on maintaining optimal water quality to guarantee the health and productivity of both fish and plants. This review paper explores the latest developments in IoT-based automated water monitoring systems, focusing on their role in predicting and managing water quality in aquaponic systems. Regardless of significant progress there are several research gaps. Recent studies highlight challenges such as inconsistent sensor selection, calibration issues, insufficient publicly available data, and inadequate data cleaning and preprocessing. Also, the issues of imbalanced datasets, limited long-term data, and underdeveloped IoT and AI integration prevent the development of accurate predictive models. The scalability and maintenance of systems, understanding microbial dynamics, and nutrient management are also critical areas needing further exploration. This review also identifies the need for deeper case studies and advanced feature extraction methods to enhance prediction accuracy. By addressing these gaps, including system scalability and nutrient management, future research can improve data availability and quality, enabling more robust predictions and contributing to more efficient and sustainable aquaponic systems.

Analysis of Salted Fish Processing Production in Panipahan, Pasir Limau Kapas District, Riau Islands

This research was conducted in early May 2024 in Panipahan, Pasir Limau Kapas District, Rokan Hilir Regency, Riau Province. The purpose of this study was to analyze the process, input, and output in the analysis of salted fish processing production. In addition, it also determines investment and profit and analyzes the prospects and constraints of salted fish processing production. This research was conducted using a survey method by taking activities/case studies and determining respondents using the census method. From the results of the study, salted fish processing production activities in the form of input have sufficient availability, the process runs regularly so that it produces output in the form of processed salted fish products ready to be marketed. The total investment is IDR 78,464,000 per month and the profit is IDR 16,760,000 per month. According to various feasibility criteria, this business is feasible to be continued and developed

EFFECTS OF PROCESSING ON THE PROXIMATE AND MINERAL COMPOSITION OF CULTURED AND CAPTURED CLARIAS GARIEPPINUS

Fish and fish products serve as vital protein sources in Africa and the world in general. Since fish is typically processed before consumption, this study investigated how different processing methods affect the proximate and mineral composition of both cultured and captured Clarias gariepinus. The processing techniques employed in this research included smoking, boiling, and oven drying. Cultured catfish were sourced from Oris Farm in Osogbo, Osun State, Nigeria, while captured catfish were obtained from Asejire Dam in Oyo State. The proximate and mineral compositions of fresh, boiled, smoked, and oven-dried samples of both cultured and captured Clarias gariepinus were analyzed in triplicate. The results indicated significant differences (P<0.05) in crude protein, dry matter, moisture, ash, fiber, potassium, and phosphorus content among the different processing methods for both cultured and captured catfish samples. Potassium and phosphorus levels also varied significantly (P<0.05) across the processing methods. Boiled and oven-dried samples of both cultured and captured catfish exhibited higher crude protein and lipid content, suggesting that these processing methods provide consumers with a rich source of protein and essential nutrients. The study concludes that boiling and oven drying with samples possessing highest percentages of protein are the most effective processing methods for preparing Clarias gariepinus, ensuring optimal nutrient retention for consumers.

Small Pelagics in West Africa face the multiple challenges of food security, wealth creation and regional governance

The aim of this article is to present the multidimensional challenges associated with the exploitation of small pelagic fish in the West Africa region. The method involved collecting statistical data on the production and trade of these fish from research centres located in countries along the West African coastline. Field surveys were also conducted with experts and key stakeholders in fisheries to gather qualitative information on fisheries resource governance and working conditions within the value chain. These empirical data are enriched by a narrative review of scientific literature. Our results show an average annual production of small pelagic fish estimated at 1.3 million tonnes. Although this performance has improved over the past decade, primarily due to increased catches in Mauritania, it remains insufficient to meet the needs of a rapidly growing population. Indeed, per capita consumption of small pelagic fish has decreased by two kilograms over the past decade, currently standing at five kilograms per individual per year. The trade deficit in pelagic fish is increasing. This situation is set to worsen in the coming years due to various factors such as the current state of overexploitation of pelagic stocks, degradation of marine ecosystems, and climate change. Additionally, the emergence of fishmeal and fish oil industries, as well as the lack of adequate port infrastructure, hampers the value addition of the small pelagic fish value chain for human consumption. On the governance front, several challenges remain. Current public policies are often directive and ineffective, particularly concerning artisanal fisheries. The management of migrant fishers also remains problematic, exacerbating the pressure on already vulnerable stocks. Despite the establishment of regional institutions, interviews with experts highlight a lack of integration and synergy in fisheries resource governance. In a context where issues of food security and climate change are becoming increasingly urgent, it is imperative to design and implement robust regional strategies to address these critical challenges.Haut du formulaire Bas du formulaire

Utilization of Aquatic Plants and Microalgae for Sustainable Aquaculture Production and Potential Biotechnological Applications

Locally available feedstuffs, such as grain seed cakes, oilseeds, and vegetable waste, hold immense potential as alternative feed sources in fish farming. However, these plant-based ingredients have low crude protein content and lack essential fatty acids, which lowers palatability and feed conversion efficiencies, leading to suboptimal fish growth. Traditional feedstuffs like fishmeal and soybean meal face sustainability challenges such as local unavailability, the presence of anti-nutritional factors, and energy-intensive processing. The rising costs of commercial aqua-feeds and feed scarcity necessitate exploring alternative fish feed options. Aquatic plants like Ipomoea aquatica, Lemna minor, and Azolla pinnata, along with green and blue-green microalgae such as Chlorella spp. and Arthrospira spp. (Spirulina), are promising alternatives due to their high protein content, availability of essential omega-3 fatty acids such as EPA (Eicosapentaenoic acid) and DHA (Docosahexaenoic acid), and beneficial bioactive compounds. These plants and microalgae, with crude protein content ranging from 25% to 65%, can significantly enhance fish growth, health, and product quality by partially or entirely replacing fishmeal. Their nitrogen-fixing abilities contribute to their high protein levels. Additionally, these organisms have various biotechnological applications, including phytoremediation, Integrated Multi-trophic Aquaculture (IMTA), aquaponics, biofloc technology, and constructed wetlands. Despite their potential, challenges in scaling up and integrating these alternatives into existing systems remain. Collaborative efforts and advocacy among farmer groups are crucial for knowledge sharing and fostering sustainable biotechnological solutions. Long-term strategies should focus on upscaling local feed production and research and development to achieve self-sufficiency and cost-effective natural feed production systems in fish farming.

Peluang pertumbuhan ekonomi di Kabupaten Majene Provinsi Sulawesi Barat

Background: The high production of capture fisheries in Majene Regency is not balanced by a marketing system and infrastructure in the form of adequate fishing ports and fish processing units. Findings: It is recorded that currently Majene Regency only has 2 (two) fishing port units, namely PPI Palipi and PPP Banggae with a total of 30,887 fishermen, the largest in West Sulawesi out of a total of 57,318 people. With these conditions, the catch of Majene Regency fishermen is mostly sold in the middle of the sea. Methods: This paper uses a literature review method sourced from literature, such as scientific articles, books, journals, and online media. Conclusion: The number of fishing port infrastructure in Majene Regency is still relatively low when viewed from the amount of production in other regencies/cities in West Sulawesi Province. So a government policy step is needed as a form of support for economic growth that is in accordance with the potential in Majene Regency, one of which is fisheries. Thus, it is hoped that fishery products which are superior commodities can be distributed to areas that do not have the potential for capture fisheries resources or the exchange of commodities through a buying and selling system.

Analysis of Fish Supplies at the Poumako Fishing Port, Mimika Regency, Central Papua Province - Indonesia

One of the feeder ports in Fisheries Management Area (FMA) 718 is the Poumako fishing port in Central Papua Province, which encompasses fishing grounds in the sea of Aru, Arafuru, and Eastern Timor. As a supply of fish for different consumer locations on the island of Java, the port is crucial to Indonesia's marine fisheries supply chain. Therefore, in fisheries management policies at FMA 718, it is necessary to predict fish catches as assessment materials. This research aims to analyze the availability of fish supplies at the Poumako Fishing Port. Secondary data from the Ministry of Maritime Affairs and Fisheries (MMAF) provided the production of fish that landed between January 2018 and October 2023 for analysis. In addition, secondary data from the Poumako Fishing Port and interviews with port management were used to reveal the dynamics of fish supply at the Fishing Port. Data was analyzed descriptively. Fish catch predictions were investigated by the Triple Exponential Smoothing method. The research results show that Poumako Fishing Port has significant roles in the local and national fish supply chains. The trend of fish catches landed at Poumako Fishing Port is parabolic. There is a trend of increasing production in 2018–2021 and decreasing production in 2022–2023. The catch fisheries production is predicted to decline in 2024. Therefore, it is necessary to improve port facilities and management to increase marine fisheries production at the Poumako Fishing Port in the future.

A Robust Method for Simultaneous Determination and Risk Assessment of Multiresidual Pesticides in Fishery Products.

In this study, we developed and validated a multiresidue analytical method for the simultaneous detection of 24 pesticides in fishery products. Using the EN15662 extraction method and C18 as the adsorbent for purification, the validation results complied with Codex guidelines, achieving recovery rates between 70% and 120% and relative standard deviation values (%RSD) within 20%, indicating excellent performance. The limit of detection ranged from 0.25 to 0.8 ng/kg, and the limit of quantification was between 3 and 10 ng/g, providing sufficient sensitivity to comply with future regulatory standards. The calibration curves for all 24 pesticides exhibited great linearity (R2 > 0.98), also satisfying the Codex requirements. The matrix effect was less than 30% for some pesticides-within ±20%-indicating minimal interference from impurities. An analysis of 300 fishery samples from nine regions across South Korea detected lufenuron at 10 ng/g in eels; however, the risk assessment was below 0.19%, posing no significant hazard to public health. This newly developed analytical method proved effective for the multi-analysis of pesticide residues in fishery products, offering rapid and reliable monitoring of the import and export safety of fishery products.

Impact of COVID-19 on River and Fisheries: A Comprehensive Guide

Impact of COVID-19 on Rivers and Fisheries: A Comprehensive Guide is a review article that discusses the effects of the COVID-19 pandemic on the aquaculture sector (including financial assistance, input sub/sides, social protection, support for access to new markets, and other measures) aquatic environments, including rivers and fisheries. The authors highlight a significant reduction in tourism, which has led to a decline in the Indian economy. They also discussed the impact of the pandemic on the aquaculture industry, which has been severely affected by the reduction in demand. This review article further discusses the changes in water quality parameters, including increased plastic waste, improved water quality index due to reduced human activities and reduced availability of nutrients due to decreased agricultural activities. The authors also discussed the impact of the pandemic on fish biodiversity, including population restoration due to reduced industrial pollution and changes in the reproductive state of fish. The article concludes by discussing the impact of the pandemic on the exploitation of fish and the aquaculture and fishing industries, including increased fishing effort and harvest with prolonged lockdowns and decreased fish production.

Fish production, water quality, and the role of nitrification as an ammonia removal process in intensively aerated hybrid catfish ponds

AbstractSix 0.1‐ha earthen ponds with 45 kW/ha of aeration capacity were stocked with hybrid catfish (Ictalurus punctatus x I. furcatus) ranging from 15,000 to 90,000 fish ha−1 in 15,000 fish ha−1 increments to analyze the effect of nitrogen loading on ammonia accumulation and fish production. Minimum dissolved oxygen (DO) concentration was maintained above 3.0 mg O2 L−1 to prevent hypoxia‐induced appetite reduction. Stocking density did not impact survival but decreased average fish harvest weight and increased food conversion ratio (FCR). Gross production increased with stocking density and ranged from 7249 to 35,674 kg ha−1. Average total (TAN) and un‐ionized ammonia (NH3) were not different among stocking densities despite greater nitrogen inputs in ponds with higher feeding rates. Nitrite () and nitrate () concentrations were significantly higher in ponds with higher stocking densities, suggesting that nitrification increased with nitrogen loading. Phytoplankton assimilation of ammonia is the primary ammonia removal process in traditional catfish ponds with modest fish densities and feeding rates. However, in intensively aerated ponds with high feeding rates, nitrification can become an important process for ammonia removal. These data indicate that small earthen hybrid catfish ponds with high aeration capacities can increase catfish production without ammonia accumulating.

Correlation between fishing yield and microplastic levels across nations

This research looks into the association between fishing and microplastic contamination across countries, with a particular focus on how the growth of microplastic levels can impact fishery production. Through the use of a mixed-effect model we were able to look through data from 100 nations during the period 1990-2021, where fishery yield data was extracted from The World Bank and microplastic concentration data was obtained from the National Centers for Environmental Information; population data served as a control variable in our analysis. We found that there is indeed a significant negative correlation between levels of microplastics and fishing yield: an increase by 1 piece of microplastic per cubic meter leads to decrease in fishing yield by anything between 65 and 100 metric tonnes (95% confidence interval). This relationship held true for about 93% of all coastal countries studied. To accommodate for differences amongst nations, we introduced random intercepts and slopes in our mixed-effect model which helped capture variations specific to each country while still identifying an overarching pattern. The research we are doing is on the connection between fish catches and microplastic pollution which takes place in the different countries of the world, where we focus more on how high microplastic levels influence fishery production. Having made use of a mixed-effect model, we have been able to look at data that represents 100 nations within the period of time between 1990 and 2021; The World Bank provided us with fishery yield data while microplastic concentration data came from the National Centers for Environmental Information. In addition to these variables, population data was used as a control variable. The summary of our analysis points towards a significant inverse relationship noted between microplastic levels and fishing yield: an increase by one piece of plastic results in a decline by somewhere between 65 to 100 metric tonnes (95% confidence interval). This generalization held true for about 93% coastal countries considered under this study. To capture specific variations among nations but also identify an overall trend line while dealing with inter-country variability, random intercepts and slope components were included as part of our mixed-effect model methodology.

Research of the range of dried fish products

Research of the range of dried fish products

Forecasting of Inland Fish Production: Case of Catla (<em>Catla catla</em>) and Gift Tilapia (<em>Oreochromis niloticus</em>) Production in Udawalawa Reservoir in Sabaragamuwa Province, Sri Lanka

This study focused on assessing and forecasting Catla (Catla catla) and Tilapia (Oreochromis niloticus) production in the Udawalawe reservoir in Sri Lanka using an 11-year time series data from 2010 to 2021. The relevant secondary data were collected from the National Aquaculture Development Authority of Sri Lanka (NAQDA). Unit root tests, Dickey-Fuller tests, and Seasonal Auto Regressive Integrated Moving Average (SARIMA) models and trend analysis were applied for the data analyses. According to the results, stationarity behaviour was observed in both Catla and Tilapia production information series. Hence, SARIMA (2,2,1) (1,0,1)12 is the appropriate empirical model for forecasting Catla production. Furthermore, the maximum average landings of Catla production were observed in the March-June time period. SARIMA (1,0,1) (1,1,1)12 was indicated as the most suitable model to forecast Tilapia production in the reservoir. The maximum average of Tilapia production was also observed in the March-June period. Both the SARIMA model and trend analysis gave approximately equal production information regarding Catla and Tilapia. Thus, these findings showed that the SARIMA model has more accuracy than trend analysis when analysing the time series information for short durations. However, when the duration becomes larger, forecasting is not suitable using the SARIMA model, and trend analysis gives a clear view up to a certain level. Both Catla and Tilapia production exhibited significant changing patterns and multiple seasonalities. Thus, trend analysis gives valuable insights than SARIMA model in long term predictions in case of this study. These findings are highly important for enhancing fish production in this reservoir, as they predict future fish catches under the current reservoir conditions.

Economics of Fresh Water Cultured Fish Production in Odisha and Bihar, India: A Comparative Analysis

Fisheries and aquaculture are important sectors that provide nutritional security, contribute to agricultural exports, and provide livelihoods to about 28 million fishermen, fish farmers, and other value-chain actors. The study was conducted in two states of Eastern India, i.e. Odisha and Bihar, to estimate the comparative economics of freshwater fish production and its profitability. The results showed that the cost of fish production was estimated to be Rs. 346943.45/ha of pond, constituting Rs. 208582.74 as a variable cost and Rs.138360.71 as a fixed cost in Odisha. In Bihar, the per hectare fish production for an average pond size was estimated to be Rs. 318445.47, comprising variable cost as Rs 188061.82 and fixed cost as Rs. 130383.64. On average, per hectare, fish production in Odisha from all ponds was estimated to be 45.69 quintals, while in Bihar, it was 35.67 quintals. The profitability analysis revealed that in Odisha, per hectare gross income, on average, for all ponds was Rs. 717763.06. In the case of Bihar, the gross income for all the ponds was calculated to be Rs. 540352.02/ha. It was concluded that returns on investments in all pond categories were comparatively higher in Odisha than in different pond size groups of Bihar.

Reproducibility and comparison of a digital food frequency questionnaire (DIGIKOST-FFQ) assessing adherence to national diet and lifestyle recommendations.

We have developed a digital semi-quantitative food frequency and lifestyle questionnaire, the DIGIKOST-FFQ, based on the validated paper-based NORDIET-FFQ. The study aims to investigate the reproducibility of the DIGIKOST-FFQ and to compare the DIGIKOST-FFQ against the NORDIET-FFQ for the adjusted questions for intakes of fruits, vegetables, whole grains, fish, meat, and dairy products. Participants were recruited from May to September 2021 through a random sample from the National Population Register and advertisements on Facebook in Norway. In the reproducibility study, the DIGIKOST-FFQ was completed twice by the participants, 1-2 months apart. In the comparison study, the DIGIKOST-FFQ was completed 1-2 months prior to the NORDIET-FFQ. In the reproducibility study, 317 individuals were included. For 12 out of 16 food groups there were no significant differences in intake estimations between the first and second DIGIKOST-FFQ administrations. A small but significant median difference was observed for fruits (6 g/day) and vegetables (24 g/day). Correlations were satisfactory for all items (r = 0.60-1.00), and in the cross-classification 85% of the participants were classified into the same or adjacent quartile for all items. The comparison study included 81 individuals. Compared to the NORDIET-FFQ a significant median difference was observed for fruits 29 g/day, vegetables 36 g/day, whole grains -10 g/day, and red meat -11 g/day, but not for fish, processed meat, or dairy products. The DIGIKOST-FFQ was able to reproduce diet and lifestyle at the group level. An intended difference for the food groups where questions had been adjusted, was observed between DIGIKOST-FFQ and NORDIET-FFQ in the comparison study.

Using blockchain and AI technologies for sustainable, biodiverse, and transparent fisheries of the future

This paper proposes a total fusion of blockchain and AI tech for tomorrow’s viable, rich in diversity and transparent fisheries. It outlines the main goal of tackling overfishing challenges due to lack of transparency and biodiversity depletion in the fisheries sector. With the use of blockchain technology, we can ensure that all fishery products are safely traced from their harvest up to when they get to the market— at the same time, AI algorithms are used in monitoring fish populations and predicting them plus decision-making processes which should be enhanced thus promoting bio-diversity and ensuring sustainability of fish stocks. Results show promise on using both technologies together: improving sustainability plus transparency in fisheries which would promote more fish biodiversity, while others including using an artificial intelligence system have not been confirmed yet by observations. The conclusion underscores the transformative nature of these technologies as having great implications towards fisheries management; this implies that there is a need for future observational studies aimed at validating such other findings.

Optimalisasi Hasil Perikanan Melalui Pembuatan Abon Ikan Mujair dengan Penambahan Nangka Muda di Desa Kedungpeluk, Kecamatan Candi, Sidoarjo

This socialisation activity aims to optimise the utilisation in processing fishery products through making shredded tilapia with young jackfruit as an additional ingredient in the Kedungpeluk Village area, which is located in Candi District, Sidoarjo Regency. The method used was observation, interview, preparation of work programme and practice in making shredded tilapia. The activity began with socialisation to the PKK women's group to increase understanding and skills in processing tilapia into shredded fish. The use of young jackfruit is a form of innovation in developing local food potential and is an effort to diversify food which is a diversity of products consumed and improve the value of fibre in processed meat such as shredded which has low fibre. This socialisation activity is expected to be able to provide direction to the Empowerment and Family Welfare (PKK) women's group in Kedungpeluk Village, Candi Subdistrict, Sidoarjo Regency to gain knowledge and skills in processing tilapia and young jackfruit into processed products

Predicting weight dispersion in seabass aquaculture using Discrete Event System simulation and Machine Learning modeling

Marine aquaculture, particularly in the Mediterranean region, faces the challenge of minimizing growth dispersion, which has a direct impact on the production cycle, market value and sustainability of the sector. Conventional grading methods are resource intensive and potentially detrimental to fish health. The current study presented an innovative approach in predicting fish weight dispersion in European seabass (Dicentrarchus labrax) aquaculture. Seabass is one of the two major fish species cultivated on the Mediterranean coast, with a fattening cycle of 18–24 months. During this period, several grading operations are carried out to minimize growth dispersion. The intricate feed-fish-water system, characterized by complex interactions among feeding regimes, fish behavior, individual metabolism and environmental factors, is the focus of the study. The comprehensive, five-step methodology addresses this complexity. The process begins with a Discrete Event System (DES) model that simulates the feed-fish-water dynamics, taking into account individual fish metabolism. This is followed by the development of a surrogate machine learning (ML) regressor model, which is trained on DES simulation data to efficiently predict growth distribution. The model is then calibrated and customized for specific fish stocks and production tanks. The preliminary results from 21 tanks in two trials with European seabass (D. labrax) showed the effectiveness of the method. The results from the simulation models achieved a R2 of 99.9 % and a Mean Absolute Percentage Error (MAPE) of 1.1 % for the prediction of mean final weight and a R2 of 90.3 % with a MAPE of 8.1 % for the standard deviation of final weight. In summary, this study represents a significant advance in the planning and management of seabass aquaculture. Given the lack of effective prediction tools in the aquaculture industry, the proposed methodology has the potential to reduce risks and inefficiencies, thus possibly optimizing aquaculture practices by increasing sustainability and profitability.