Bangladesh

Image Alternative Text: Director General of the Department of Fisheries Kh. Mahbubul Haque, sitting at a table with other stakeholders, remarked on the research findings.

Machine Learning Tool Paving the Way to Modernize Aquaculture Statistics in Bangladesh

The Harnessing Machine Learning activity worked with stakeholders in Bangladesh to develop a rigorous approach to survey design and implementation to ensure high quality data and representativeness beyond what is normally collected for the…

Image Alternative Text: At the Fish Innovation Lab Technical Workshop, Mark Lawrence presented on the Asia and Africa aquaculture and fisheries activities, which the lab supports.

Bangladesh Aquaculture Sector Meeting: Presenting Aquaculture Research for Development

The Bangladesh Aquaculture Sector Meeting showcased the results from five Fish Innovation Lab activities in Bangladesh to promote the adoption and scaling of research findings and technologies as well as to receive feedback and recommendations from…

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A High-quality Chromosome-level Genome Assembly of Rohu Carp, Labeo Rohita, and its Utilization in SNP-based Exploration of Gene Flow and Sex Determination

The Genome Sequencing and Development of Single Nucleotide Polymorphism (SNP) Markers from Rohu in Bangladesh activity has a new journal article. The results from the study demonstrate the utility of the new rohu genome in modernizing some aspects…

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Performance of Sentinel-1 and 2 Imagery in Detecting Aquaculture Waterbodies in Bangladesh

The Machine Learning for Better Aquaculture activity has a new journal article in Environmental Modelling and Software. Read the abstract to learn more about how the team used synthetic aperture radar (SAR) and multispectral data to detect …

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COVID-19's Effects and Adaptation Strategies in Fisheries and Aquaculture Sector

The Strategies for an Inclusive Aquaculture Value Chain in Bangladesh activity has a new journal article in Aquaculture. Read the abstract to learn more about how COVID-19 has affected the fisheries and aquaculture sectors in Bangladesh.

Image Alternative Text: Workers cover crates of shrimp with ice in a Bangladesh market

BAU Researchers Use Machine Learning Technology in Fisheries Survey

The Fish Innovation Lab's Machine Learning for Better Aquaculture activity recently hosted a series of outreach workshops in Bangladesh to share results and findings with stakeholders.

Image Alternative Text: two women harvesting vegetables

Women Employment in Integrated Gher (Rice-Fish-Vegetable) Farming

In this video by the Machine Learning for Better Aquaculture activity, Bangladeshi women harvest vegetables on an integrated gher farm or rice-fish-vegetable farm, which helps them earn income for themselves and their families.

Image Alternative Text: two men removing sludge with baskets

Removing Sludge From Prawn/Shrimp Farm

This video, produced by the Machine Learning for Better Aquaculture activity, shows how Bangladeshi farmers use their own innovative technology for removing sludge from a rice-fish farm field instead of using baskets.

Image Alternative Text: a sky view of farming fields

Seasonal Activities in Integrated Farming

A farmer shares seasonal activities he does in integrated farming—such as stocking and collecting fish from the ponds, cultivating different types of vegetables, and planting rice—with the Machine Learning for Better Aquaculture activity.

Image Alternative Text: a man holding up prawns

Maximum Land Utilization in Integrated Rice-prawn/Fish-vegetable Farm

In this video by the Machine Learning for Better Aquaculture activity, farmers maximize land by utilizing an integrated rice-prawn/fish-vegetable farming practice.