The importance of artificial intelligence (AI) in aquaculture, an important and dynamic industry segment is unquestionable. We reported previously about numerous applications, including the identification of fish more efficient in cleaning sea lice off salmon, the USAID project to estimate aquaculture production and value chain performance,  and last but not least, this project, the EIT Food-funded AGAPE project, seeking to develop a platform that matches industry job descriptions with employees skills and, supported by AI, recommends career pathways.

And most recently, another company received a substantial investment of 8 million USD in their series A round. Their goal is to develop an AI-driven, automated system to reduce the need for human intervention in land-based aquaculture systems.

Reeldata, released, the following press release (with a pun):

“Artificial Intelligence for Precision Aquaculture

Artificial intelligence (AI) has the potential to revolutionize the world of precision aquaculture, making it a more sustainable and cost-effective solution for producing animal protein. Land-based aquaculture, in particular, has been identified as the most sustainable option for raising fish and other aquatic species, and AI can play a crucial role in making this method even more efficient and effective.

One of the key benefits of using AI in precision aquaculture is that it can help farmers save money. By utilizing AI algorithms, farmers can optimize the growth and health of their fish, reducing the need for costly inputs such as feed and medication. This can help lower the overall cost of production, making it more competitive with other animal protein sources such as beef and chicken.

Another benefit of AI in precision aquaculture is that it can help farmers detect the biomass distribution of fish in their tanks. AI cameras can be used to capture images of the fish, which can then be analyzed by AI algorithms to determine the density and distribution of fish within the system. This information can be used to optimize feeding and other management practices, ensuring that the fish are getting the right amount of food and avoiding overfeeding, which can lead to wasted feed and increased costs.

AI can also be used to monitor fish appetite, which is crucial for preventing feed wastage. By using sensors to track the fish’s feeding behavior, farmers can determine when the fish are hungry and when they are full. This information can be used to adjust the feeding schedule and amounts, ensuring that the fish are getting the right amount of food and avoiding overfeeding, which can lead to wasted feed and increased costs.

In addition to these benefits, AI can also be used to monitor the overall health and wellbeing of the fish. By using sensors to track the fish’s behavior, farmers can detect signs of stress or disease early, allowing them to take prompt action to prevent further spread. This can help to reduce the risk of disease outbreaks, which can be costly and time-consuming to manage.

Overall, the use of AI in precision aquaculture has the potential to make land-based aquaculture a more sustainable and cost-effective solution for producing animal protein. By using AI to optimize growth and health, reduce feed wastage, and monitor the overall health and wellbeing of the fish, farmers can increase their efficiency and reduce costs, making it a more competitive option for consumers looking for a sustainable source of animal protein.

In conclusion, AI has the potential to revolutionize the world of precision aquaculture by making it a more sustainable, efficient and cost-effective solution for producing animal protein. Land-based aquaculture, in particular, is the most sustainable option for raising fish and other aquatic species, and AI can play a crucial role in making this method even more efficient and effective. By utilizing AI algorithms, farmers can optimize the growth and health of their fish, reducing the need for costly inputs such as feed and medication, and increase their efficiency and reduce costs, making it a more competitive option for consumers looking for a sustainable source of animal protein.

Don’t believe us about the potentials of AI? This article was written by one.”