MONITORING
The future of artificial intelligence in hatcheries and post-smolt farms Caitlyn Parsons, ReelData AI
Machine learning experts monitor their artificial intelligence device in a post-smolt facility. Photo © ReelData AI.
With the recent growth of the aquaculture industry, new technology has become more prevalent in common practices, with many larger companies adopting innovative ways to automate their farming operations. The most recent wave of tech has been focused on the practical applications of artificial intelligence in aquaculture, and how it is able to help automate farms and alert farmers of any issues happening with their fish. Many believe that A.I. and big data will become an important component for industry growth and even influence production yields. They also believe that artificial intelligence will help in creating in-depth analyses by providing operators with a glimpse of the future of fish farms, thereby limiting risks for future
Hatchery Feed & Management Vol 10 Issue 2 2022
fish farmers. In an article in Eurofish Magazine, they discuss how “big data and artificial intelligence have become important drivers of economic development in the fish industry” by making the process “more predictable and reduc[ing] the risks associated with [aquaculture].” With the recent trend of post-smolt farms keeping their fish in land-based tanks longer, technology is increasingly needed to support Recirculating Aquaculture Systems (RAS) and flow-through systems, which require specific algorithms that are different from those in the ocean-based industry. ReelData AI is a company from Halifax, Nova Scotia that saw this digital deficit in the land-based industry and decided to do something about it. The company
