Dominique P Bureau
Dept. of Animal Bioscience
University of Guelph
Ontario, Canada
Email: dbureau@uoguelph.ca

Dominique P Bureau holds a Bachelors degree in Bio-Agronomy and a Masters degree in Animal Science from Laval University (Quebec City, Quebec, Canada) and a PhD in Nutritional Sciences from the University of Guelph (Guelph, Ontario). He manages the Fish Nutrition Research Laboratory at the University of Guelph since 2000. He leads a dynamic research program focusing on nutrients) metabolism and utilization, feed formulation, feedstuff evaluation, management of environmental impacts of fish culture operations, integration and valorization of published scientific information and development of mathematical models of digestion, growth, and nutrient utilization for aquaculture species. Dominique was a member of the US NRC Committee on Nutrient Requirements of Fish and Shrimp (2009-2011) and now leads the International Aquaculture Feed Formulation Database (IAFFD, www.iaffd.com) project. He is the co-founder of Wittaya Aqua International (wittaya-aqua.ca), a thriving young company developing a suite of cutting-edge online tools for aquaculture operations, feed manufacturers and ingredient suppliers. He and his team at the University of Guelph and Wittaya Aqua are work closely with numerous feed manufacturers, feed ingredient suppliers, aquaculture producers, research groups and organizations from around the world. Dominique spent a considerable amount of time in southeast Asia working with farmers and feed manufacturers for over 30 years.

Session 4 Margin Optimisation
Presentation The Potential For Technology, Modeling, Data Analyses And Artificial Intelligence To Improve Productivity And Sustainability Of Aquaculture In Asia

Abstract:

The large number of species cultivated, the variability of production practices, the high cost of feeds and the relatively high impacts of environmental conditions and diseases on productivity make aquaculture a very challenging field.  The monitoring of feeding and performances of animals underwater adds an important layer of complexity to the sector. Various equipment, protocols and technological approaches have been developed to enable monitoring of environmental conditions, feeding and performance. Analysis of the large amount of data generated by these tools and approaches have been touted as the solution to improving productivity and economic and environmental sustainability of aquaculture. Some progress have been made but numerous limitations and challenges exist in making effective use of the information available and converting ideas in accessible and commercially viable solutions. This presentation will highlight recent advances and the potential of innovative approaches and tools based on technology, mathematical modeling, big data analyses and artificial intelligence to improve the productivity and sustainability of aquaculture, with a focus on Asian aquaculture and realistic solutions.