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Contact Info
Jožef Stefan Institute
Jamova 39
1000 Ljubljana
phone: +386 1 4773593
fax: +386 1 4773935


The aquaSmart project is about enhancing innovation capacity within the aquaculture sector, by helping companies to transform captured data into knowledge and use this knowledge to dramatically improve performance. It also supports production benchmarking through access to global data.

The project is based in the real world, addressing actual problems that aquaculture producers face and is run by a skilled and experienced consortium including top research institutes, a major player in the aquaculture IT sector and three highly innovative aquaculture companies.

AquaSmart uses state of the art technologies and global data access to reveal how the environment, fish feeding, production management and practices affects your production.
You will be able to understand and quantify the interaction between all the factors affecting the success of your production. You will be able to know how environmental parameters (like temperature and oxygen), feed types, feed composition, feeding rates and practices, net changes, production management strategies influence the main KPIs of your production like FCR, mortality rate, growth rate, production time, health, etc.

AquaSmart is an innovative, cloud based tool to help you to:
Lower production costs.
Improve profitability.
Improve operational efficiency.
Carry out business in a sustainable, environmentally friendly way.

In this way you will be able to:

Know if the feeding and the management of the fish is done in the right way.
Continuously evaluate the performance of your production and compare this performance to the one of similar companies (benchmarking), with full respect to the privacy of your data.
Evaluate feed, feed suppliers, hatcheries, feeding policies, people, management practices, nets, etc.
Identify patterns and trends in your production, find the reasons for bad performance and then focus to the most important ones in order to improve.
Optimize feeding and growth models which will have a great impact on feeding efficiency, cost and environmental impact.
Estimate the fish population (understand that there is a deviation between the calculated fish number/average weight and the real ones).
Adjust feeding, based on the real fish population and the behavior of the fish.
Identify warning signs that may indicate problems such as disease in the fish population.
Improve production efficiency by understanding the relationships between the parameters and their effect on the production result.

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