Data Driven Aquaculture (DDA)

Better quality and potential of Smolt

There is a high variability in quality and potentiality of smolt for the various fattening centers, without a clear identification of variables that lead to a sustained optimization of both aspects.

Our solution establishes the best management measures to achieve better quality smolt and potential for fattening, improving productivity, strengthening growth and a better physiological condition to face the challenges of this critical phase in the total productivity of the value chain.

Data Driven Aquaculture (DDA)

Data Driven Aquaculture (DDA)

Optimization of growth and harvest

The growth in fattening obeys intrinsic and extrinsic factors of the fish, some of which are actionable and others not. The latter are essentially predominant environmental conditions specific to each center, which require a differentiated and multifactorial treatment.

Our solution collects useful information to establish relationships between management and environmental conditions and the growth response of the fish.

Data Driven Aquaculture (DDA)

Data Driven Aquaculture (DDA)

Optimization of the feed conversion factor

Feed is by far the most significant cost in aquaculture production and, in particular, in the grow-out phase. Therefore, its process is key and must be optimized in all aspects of its use.

Our solution brings together a series of data and relevant information that allow us to diagnose, predict and generate recommendation models for production with the highest possible efficiency in feed conversion, optimizing its cost based on the reality of each center.

Data Driven Aquaculture (DDA)

optimización de enfermedades y baja de terapéuticos

Data Driven Aquaculture (DDA)

Optimization of disease control and reduction in the use of therapeutics

Salmon farming has been presenting the sustained attack of salmon ricketsial syndrome (SRS) and caligidosis caused by an ectoparasite. In both, preventive and therapeutic control methods are applied, with limited effect and for short periods of protection.

Our solution is to obtain relevant data that makes it possible to predict and derive recommendations that help to control both diseases more effectively and with less use of therapeutic substances.

Data Driven Aquaculture (DDA)

Data Driven Aquaculture (DDA)

Optimization of the productivity of process lines

In the production lines of seafood processing plants, high variability in productivity is observed, due to various factors.

Our solution, based on analytics, focuses on reducing production costs associated with the processes and defined goals of the processes identified in the plant, where the information retrieved configures an online recommendation system that optimizes performance and achieves its greatest optimization. .

Data Driven Aquaculture (DDA)

Data Driven Aquaculture (DDA)

Prediction and characterization of products in process plants

Our solution focuses on the use of data associated with production batches in order to build tools that allow predicting the projection of the output variables under different scenarios at the beginning and during the production process, optimizing its stages and achieving better performance.