The Rise Of Al In Aquaculture

In the last decade, the aquaculture industry recorded highly significant advancements due to adopting artificial intelligence (AI) technologies.
Artificial intelligence is a niche of computer programming that develops programs and applications to make decisions and identify language, text, or images without human supervision.

The latest Lutz report by Prof C Greg Lutz shows that companies, in conjunction with research institutes, are actively working on relevant AI-based applications that would take the industry further quickly.

Application Of AI In Aquaculture

Professor Lutz wrote that he got exposed to Aquaculture AI in 2000 when he read research by the University of Texas Medical Branch, Galveston.
The publication revealed how the team applied a fuzzy logic-based control system to denitrify a closed recirculating system.

First, they processed real-time sensor inputs that measured dissolved oxygen, pH, and oxygen-reduction potential. Then they used the information to control pumping rates and carbon feed additions to the computer-controlled bioreactor.

Today, researchers use AI to visualize marine life, assist husbandry practices and simplify major production tasks. They deploy it to improve feeding efficiency, disease detection, environmental monitoring and control, biomass estimation, and breeding.
The aquaculture industry now possesses AI-based systems for image analysis and biomass prediction. They use these systems to monitor and improve animal welfare and production.

Challenges Of Applying AI In Aquaculture

Artificial intelligence is in its early stages; hence costs are relatively high. Startups are getting on top of this by implementing cost trends and innovative approaches to make AI applications more accessible to resource-limited producers.

Darapaneni et al. (2022) posit a system targeted at detecting disease outbreaks early to provide farmers with enough time to manage the situation. The system will use underwater cameras and sensors to capture images and transmit them to an AI partner for processing, scoring, and training an AI model.
ReelData AI recently announced two AI-based products to monitor Salmon welfare conditions in land-based controlled ecosystems.

Featured image from TechCrunch.com