Draft:AquaManager
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
|
Comment: In accordance with the Wikimedia Foundation's Terms of Use, I disclose that I have been paid by my employer for my contributions to this article. Margarita Baranova (talk) 10:29, 23 December 2025 (UTC)
aquaManager is a software platform for aquaculture production management, used by fish and shrimp farming companies in marine, freshwater and recirculating aquaculture systems.[1]. It integrates farm and hatchery data with business intelligence, artificial-intelligence tools and smart-equipment connections to support monitoring, planning and operational decision-making across the production cycle [2]. Independent industry reports describe aquaManager as part of a broader trend toward digitalisation in aquaculture, citing its use in commercial farms and its role in enabling data-driven management across multiple regions and species [3]. The platform is developed and marketed by i2S, a technology company based in Athens, Greece [4]
Background
aquaManager is developed by i2S SA, an information-technology company headquartered in Athens, Greece. Founded in 1997, i2S specialises in software for aquaculture operations and provides digital systems used in commercial fish and shrimp farming.
History
Independent industry publications trace the development of aquaManager to broader digitalisation trends in aquaculture, including the adoption of analytics, connected devices and automated monitoring systems.[3] Early industry reports describe aquaculture operations before digital tools as relying on fragmented records and manual processes, with limited visibility into production performance and costs.[5] According to independent coverage, aquaManager emerged during a period of increasing interest in data-driven aquaculture and has since been deployed in commercial farms across multiple regions and species as part of long-term modernisation efforts.[1] Reports highlight its role in integrating sensors, feeding systems and environmental monitoring tools, positioning it within the broader shift toward “smart farming” and digital production management.[5]
Overview
aquaManager is described in independent industry publications as an integrated ecosystem of digital tools used in commercial aquaculture operations. The system brings together software for hatchery and grow-out management, data-analytics components and connections to monitoring devices used on fish and shrimp farms.[5] Industry sources report that aquaManager is used to centralise biological, environmental and financial information, providing farms with real-time visibility of biomass, feeding activity, environmental parameters, stock movements and production performance.[2] These digital workflows are described as supporting traceability and enabling farms to monitor key indicators such as feed use and growth trends across cages, tanks or ponds.[1] External reports characterise aquaManager as consisting of several functional domains, including farm-management software, data-analytics capabilities, artificial-intelligence features and integration with on-farm equipment such as sensors, feeding systems and biomass-estimation tools.[6] These components are described as part of a wider shift in aquaculture toward connected digital ecosystems that unify operational data and support decision-making at production sites.[3] Independent coverage also notes that aquaManager is used across different production systems—including sea-cage farms, pond and tank operations and recirculating aquaculture systems (RAS)—and across multiple species in regions adopting digital management technologies.[1]
Features
Management software
Hatchery management
Industry publications describe the use of aquaManager in commercial hatcheries to support early-stage aquaculture workflows.[7] External reports note that digital tools associated with the system are used for broodstock registration, genetic tracking, planning of spawning and larval batches, and the monitoring of live-feed production and larval rearing.[8] Independent sources also highlight the role of these tools in supporting larval-stage feeding, survival monitoring and scheduling, helping hatcheries organise production data and improve planning and traceability.[7]
Grow-out management
Reports on commercial aquaculture operations describe the use of aquaManager’s grow-out tools for production planning, environmental monitoring, feeding optimisation and cost tracking across cages, tanks or ponds.[5] Industry publications also reference applications of these digital tools in monitoring biomass trends, feed usage and performance indicators during the grow-out phase, supporting farms in managing daily operations and reviewing production efficiency.[9]
Business intelligence
Independent industry publications describe the business-intelligence (BI) tools within the aquaManager ecosystem as part of the wider trend toward digital analytics in aquaculture.[1] These tools are reported to help farms organise and interpret operational data, supporting analysis of biomass development, feed usage patterns and production performance across different sites and cohorts.[5] External sources also note that aquaManager is used by producers to monitor key indicators such as feed conversion ratio (FCR), survival rates and growth trends, enabling comparisons across batches and production cycles.[5] Industry reports describe these analytical functions as contributing to more consistent decision-making, particularly in areas such as feeding optimisation, health monitoring and harvest planning.[3] Independent coverage highlights that BI components are used in both shrimp and finfish operations, where centralised data access and reporting support multi-site management and operational visibility.[2]
Smart equipment
Industry publications describe deployments of aquaManager together with sensor networks and IoT-enabled monitoring systems used in commercial aquaculture operations.[5] These systems typically involve the use of environmental sensors and data loggers that record parameters such as dissolved oxygen, temperature, pH and salinity at farm sites.[10] External reports also refer to the use of the BlueIoT platform, which enables real-time transmission of environmental and operational data from farm equipment to central monitoring tools.[5] The collected data feeds into the ecosystem’s alerting and analytics tools, supporting remote oversight and more predictable daily operations.[2] Industry coverage also highlights the use of feeding cameras and biomass-estimation cameras in farms adopting aquaManager, which are used to assess appetite, feed distribution, satiety and growth without reliance on manual measurements.[6] Reports describe these devices as part of wider digitalisation efforts in aquaculture, where automated observations support more consistent and data-informed management across production sites.[9]
Artificial intelligence
Industry publications report that aquaManager includes digital tools used for predictive analysis and early-warning purposes in commercial aquaculture.[3] These tools are described as supporting the interpretation of biological and environmental data to help farms anticipate production trends, optimise feeding decisions and identify potential health or environmental risks.[5] External reports also describe the use of camera-based systems in farms using aquaManager, including biomass-estimation cameras and pellet-detection technologies, which assist operators in evaluating appetite, feed distribution and growth without relying solely on manual sampling.[2] Industry coverage notes that these predictive and monitoring capabilities are part of wider digitalisation efforts in aquaculture, where integrated data systems and automated observations support more consistent and data-driven decision-making across farm sites.[1]
References
- ^ a b c d e f "Latin American shrimp companies are leading the sector's digital transformation". The Fish Site. May 18, 2022.
- ^ a b c d e "FIS - Companies & Products - AquaManager Grows Long-term Partnership with Kılıç Deniz". seafood.media.
- ^ a b c d e Fletcher, Rob (November 27, 2024). "Ocean 14 aims to take aquaManager to the next level". The Fish Site.
- ^ Gairn, Louisa (November 21, 2024). "Ocean 14 Capital Fund invests in aquaculture software firm aquaManager". WEAREAQUACULTURE.
- ^ a b c d e f g h i "Smart farming tilapia". World Fishing.
- ^ a b https://www.aquafeed.co.uk/the-future-of-aquaculture-precision-and-efficiency-with-aquamanager/
- ^ a b https://www.aquafeed.co.uk/empower-your-hatchery-operations-with-aquamanager-hatchery/
- ^ https://www.hatcheryinternational.com/spring-genetics-partners-with-aquamanager-to-optimize-production/
- ^ a b https://www.aquafeed.co.uk/sea-eight-group-transforms-aquaculture-practices-with-aquamanagers-software/
- ^ AquaManager, "AM Value Proposition Brochure".
Content Disclaimer
Informasi ini disarikan dari Wikipedia dan disajikan kembali untuk tujuan edukasi. Konten tersedia di bawah lisensi CC BY-SA 3.0. Kami tidak bertanggung jawab atas ketidakakuratan data yang bersumber dari kontribusi publik tersebut.
- The information displayed on this website is sourced in part or in whole from Wikipedia and has been adapted for the purpose of restating it. We strive to provide accurate and relevant information, however:
- There is no guarantee of absolute accuracy. Wikipedia is an open, collaborative project that can be edited by anyone, so information is subject to change.
- It is not intended to constitute professional advice. The content displayed is for informational and educational purposes only. For important decisions (e.g., medical, legal, or financial), please consult a professional.
- Content copyright. Wikipedia is licensed under the Creative Commons Attribution-ShareAlike License (CC BY-SA). This means that content may be reused with appropriate attribution and shared under a similar license.
- Responsible use. Any risk arising from the use of information from this website is entirely the responsibility of the user.

- provide significant coverage: discuss the subject in detail, excluding routine coverage like product launches, staff appointments, or financial reports and listings in databases or listicles;
- are reliable: from reputable outlets with editorial oversight;
- are independent: not connected to the subject, such as press releases, the subject's own website, or sponsored content.
Please add references that meet all three of these criteria. If none exist, the subject is not yet suitable for Wikipedia.