Capturing the spatial extent and production capacity of aquaculture around the world is not an easy task. By leveraging spatial images and computing processes, such as machine learning, we can begin to better quantify the spatial footprints and species composition of complex ocean farming (e.g. large bays with fish, seaweed, and shellfish) and answer questions about sustainable production.
Tyler Clavelle is a Project Researcher with the Sustainable Fisheries Group (SFG) at the Bren School, UC Santa Barbara. His work largely focuses on how big data can be harnessed to answer questions that are important for fisheries and aquaculture. Read more about Tyler on the SFG page or at his personal website, which provides helpful tips on managing environmental data.
Tyler Clavelle is a Project Researcher with the Sustainable Fisheries Group (SFG) at the Bren School, UC Santa Barbara. His work largely focuses on how big data can be harnessed to answer questions that are important for fisheries and aquaculture. Read more about Tyler on the SFG page or at his personal website, which provides helpful tips on managing environmental data.