Harnessing Machine Learning to Estimate Aquaculture’s Contributions to the Economy of Southwest Bangladesh

Abstract accepted for presentation at the Annual Meeting of the World Aquaculture Society held in Singapore on 29 November to 2 December 2022. The presentation detailed the use of machine learning techniques to extract information from freely available satellite images and estimate the area of waterbodies used for aquaculture in seven districts in southern Bangladesh, one of country’s most important aquaculture zones producing fish for domestic markets and crustaceans for export.

Citation

Ben Belton, M Mahfujul Haque, Hazrat Ali, Amirpouyan Nejadhashemi, Ricardo Hernandez, Murshed-E-Jahan Khondker, Hannah Ferriby. (1/12/2022). Harnessing Machine Learning to Estimate Aquaculture’s Contributions to the Economy of Southwest Bangladesh. Bayan Lepas, Malaysia: WorldFish (WorldFish).