Harnessing Machine Learning to Estimate Aquaculture’s Contributions to the Economy of Southwest Bangladesh
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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
Harnessing Machine Learning to Estimate Aquaculture’s Contributions to the Economy of Southwest Bangladesh.
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Author(s) ORCID(s)
Hazrat Ali https://orcid.org/0000-0002-6303-1336
Murshed-E-Jahan Khondker https://orcid.org/0000-0001-9933-8631
Murshed-E-Jahan Khondker https://orcid.org/0000-0001-9933-8631
Date available
2022
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WorldFish (WF)
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Contributes to SDGs
