News
Fish Innovation Lab Announces New Deputy Director: Stephen Reichley of Mississippi State University
The Fish Innovation Lab is pleased to announce that Stephen Reichley of Mississippi State University will serve as the program’s new deputy director. Reichley is the associate director of the Mississippi State University Global Center for Aquatic Health and Food Security and an assistant professor at MSU’s College of Veterinary Medicine Department of Pathobiology and Population Medicine.
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.
Anchored in Sustainability: Improving Resilience for Cambodian Fishery Communities
The Increasing Fisheries Sustainability for Resilience activity is empowering Cambodians with the knowledge to assess changes in their existing fishery to make any needed alterations in the fishing effort. By initiating a Citizen Science program, the team is supporting communities in collecting data that will help inform management efforts for more sustainable fishing practices.
Meet the Monitoring, Evaluation, and Learning Advisor: Rebecca Jeudin
Meet Rebecca Jeudin, the Fish Innovation Lab's monitoring, evaluation, and learning advisor. "I wish people knew the impact of climate change on fisheries and aquaculture," she said. "From impacting their migratory patterns across international boundaries to fish health and mortality rates, climate change has the potential to have dire consequences for communities dependent on fisheries and aquaculture."
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.
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.
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.
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.
Low-cost Long Distance Irrigation
This video, produced by the Machine Learning for Better Aquaculture activity, demonstrates a low-cost, long-distance irrigation tool to help Bangladeshi farmers.
Negative Impacts of Climate Change on Prawn Farming
In this video, the Machine Learning for Better Aquaculture team interviews prawn farmers who have been negatively impacted by climate change.