The aquaculture industry is playing a key role in mitigating the increasing food insecurity caused by threats like climate change and overfishing. This industry is limited by the production and economic losses brought on by harmful algal blooms (HABs), which are increasing over time due to rising temperatures. In 2019, HABs led to economic losses of $100 million in Norway alone (UNESCO).
AIOFAR forecasts HABs using an algorithm that considers the main variables that drive algal blooms based on theoretical and experimental results, as well as the environmental characteristics of the area in question. Many of these factors can be scalably monitored using Earth observation data, including imagery from Copernicus, and then refined in concert with in-situ data gathered by locally deployed IoT devices.
AIOFAR’s business strategy ensures local analysis and continuity for a variety of profiles in order to provide service and pricing that can be adapted to different company needs.

AIOFAR – Artificial Intelligence for Ocean Farming
Eva Fernandez Rodriguez, Zahra Okba, Zachary Rowland, Lisah Ligono,
Minh Trang Nguyen Thi, Georgia Christodoulou, Chukwuma J Okolie,
Manav Bathija, Gagandeep Kaur, Seth Nyawacha