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Bangladesh Agricultural University (BAU)

Publish Date: 06 Aug 2025

Artificial Intelligence in Aquaculture: Between Promise, Practice and the questions that remain

Dr. Md Tanvir Rahman

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What if AI’s greatest value isn’t only in solving problems but helping us ask more insightful questions?

Artificial intelligence (AI) is emerging as a powerful tool in aquaculture. From early disease detection to smarter feed management, AI is already reshaping practices. But it’s no one-size-fits-all solution. With its promise comes a need for reflection: can models designed for one species or region work elsewhere? How do we ensure these tools are more equitable and accessible to all?

Aquaculture—fish farming and shellfish—is rapidly becoming one of the world’s most important sources of animal protein. Today, fish and shellfish now contribute more than 16% of the animal protein consumed globally. To meet this growing demand, aquaculture production is projected to reach 129, 000 ktonnes by 2050. 

Reaching this milestone while safeguarding aquatic animal health and preserving the effectiveness of the few antimicrobials still available will depend on how efficiently and intelligently we farm. 

Enter artificial intelligence (AI). In recent years, AI has made remarkable progress in improving aquaculture safety, evolving from a conceptual idea to an advanced, multidisciplinary field. 

In this blog post, we explore: 

  • Where AI is already making a difference 
  • What innovations are around the corner 
  • Key questions veterinarians and farm managers need to ask, without drowning in the AI hype 
  • A practical checklist for the farm or veterinary team 

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