Harnessing AI for Precision Aquaculture Feeding Optimization

The global demand for seafood continues to rise, emphasizing the critical need for efficient and sustainable aquaculture practices. Central to successful aquaculture is optimizing feeding practices while minimizing waste and maximizing productivity. Artificial Intelligence (AI) has emerged as a transformative force in this domain, revolutionizing how feed is managed, measured, and adjusted to achieve optimal results. AI technologies offer real-time monitoring, retrospective analysis, and predictive capabilities, driving efficiency improvements in aquaculture feeding strategies.

In this article, we will present three strategies for exploiting AI during the feeding process.

Les mer om hvordan oppdrettsselskapene jobber med fôringsoptimalisering her.

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Author Shanmugapriya Survarachakan

Shanmugapriya Survarachakan is a data scientist in Spillfree, focusing on AI and Machine Learning for optimizing the feeding process.