SEA GROWTH: HPC OPTIMIZING AQUACULTURE PRODUCTIVITY
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- SEA GROWTH: HPC OPTIMIZING...
The experiment aims to improve inefficient operations in aquaculture facilities. The project proposes the use of AI-based simulations on HPC resources to improve the productivity of fish farming.
Start date: 01/06/2021
Duration in months: 18
Problem Description
The proposed solution aims to enhance aquaculture farms productivity by using HPC to centralize and analyze vast amounts of data, providing customized decision-making tools with immediate predictive results, enabling improvements or preventive actions that translate to improved productivity.
Goals
New services
Challenges
Aquaculture faces significant risks due to volatile environmental conditions like tides, temperature, salt levels, and water nutrients, resulting in millions of losses for businesses. Accurate and timely analysis of relevant data is crucial to minimize mortality and maximize fish growth.
Innovation results
The proposed solution can significantly improve the aquaculture industry by enabling more efficient and cost-effective practices. It enhances decision-making, enabling managers to make data-driven decisions. ACUATIA’s software provides data gathering, visualization, and cloud management.
Business impact
30% reduction in predictive model error through HPC, shorter time-to-production in new user facilities or new procedures by 50%, 7% improvement in fish growth for the end user, osts savings of 6.5% in fish growth for the end user, shortened time to fish sell by 2 months for the end user.