Active Food & Agriculture Infection & Immunity

Early intervention systems for sustainable aquaculture health in Viet Nam and Thailand

In plain English

AI plain-English summary

Shrimp farmers in Viet Nam and Thailand are working alongside researchers to build cheap, simple monitoring tools that warn them when their ponds are heading for trouble. Disease outbreaks and poor water quality routinely wipe out shrimp harvests across Southeast Asia, where aquaculture contributes significantly to national economies and household incomes. Existing monitoring technology is either too expensive, too complex, or looks at only one factor—such as pathogen load or temperature—in isolation, missing the bigger picture. This project tackles that gap by co-developing low-cost sensors for pathogens and nitrogen waste, combined with behavioural and feeding observations and predictive climate models, all designed to be used by farmers with little technical training. If successful, the toolkit will let small-scale farmers predict problems before they happen—spotting a disease risk or a coming weather event days in advance—and act in time to save their stock. That means fewer harvest losses, more stable incomes, and better food security for local communities. The technologies are designed to transfer to other fish species across the region, and the project explicitly includes workshops to ensure women and marginalised groups can access and use the tools.

View original technical description
Early prediction, detection and management of changes in the health of aquaculture are important entry points to increasing production through reduced disease and mortality, resulting in greater resilience and sustainability. This in turn can facilitate food security and poverty reduction across SE Asia where aquaculture makes a significant GDP contribution. Rapid identification of changes in pathogen load, water quality, animal behaviour and feeding can be used as early warnings of adverse health outcomes, with these parameters also influenced by wider climatic fluctuations. However, the level of technologies available for monitoring is highly variable across SE Asian aquaculture systems, with existing methods often focusing on factors in isolation, rather than applying a holistic approach. Additionally, accessibility of monitoring tools to end-users, particularly in poorer regions, can be limited if systems are technologically complex or require significant financial investment. The aim of this project is to support and work alongside farmers in Viet Nam and Thailand to co-develop low-cost, sustainable, early warning monitoring systems of aquaculture health. This will facilitate sustainable resilience to environmental fluctuation, reducing production losses through disease. Systems will be developed around shrimp aquaculture, but with a focus on technologies transferable across species and SE Asia. The long-term impact will provide in-country capacity to predict adverse changes to aquatic animal health and welfare. This will better inform aquaculture practices, reduce disease outbreaks and mortality, improve food security, and therefore enhance economic development. The project will be delivered through the following four objectives: (1) Co-develop novel strategies to monitor and identify physiology and behaviour changes in aquaculture animal health with SE Asia stakeholders. (2) Co-develop low-cost point-of-need sensors for known aquaculture pathogens and nitrogenous waste parameters. (3) Create predictive climate models to identify the scale and impact of weather events, leveraging existing data and new data provided through objectives 1 and 2. (4) Continuously engage with end-users to ensure an understanding of needs and priorities. In working with local fish farming communities, the expected outcomes include a deep understanding of working practices and priorities for the aquaculture farming community, resulting in a fit-for-purpose, easy to use low-cost, sustainable monitoring tool in water quality and potential disease detection. This will be modelled in the context of wider pond and environmental conditions, such that farmers can predict potential problems and react in a timely fashion. As the tool kit includes the development of on-site methods for detecting aquatic pathogens, the link between environmental conditions and disease will also be elucidated. The direct beneficiaries are small aquaculture farming communities, particularly those from low-income households with little access to modern technologies. Through end-user workshops we will promote gender equity and inclusivity across protected characteristics and communities; end-users will be involved in development of monitoring systems and provided with key tools to monitor and predict pond conditions. Greater predictive ability will benefit policy makers and governments through increased resilience and planning in the context of climate change. Technologies developed, while targeted at shrimp aquaculture in Viet Nam and Thailand, have a high transfer potential across species farmed under similar conditions (i.e. many fish species in SE Asia) broadening end-user beneficiaries in the long-term.

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Researchers

Albert Schulte (Co-Investigator)Andrew Ward (Co-Investigator)Bui Thi Bich Hang (Co-Investigator)Damion Corrigan (Co-Investigator)Fiona Henriquez (Co-Investigator)Huynh Viet Khai (Co-Investigator)Jose Alcaraz Calero (Co-Investigator)Katherine Sloman (Principal Investigator)Mhairi Alexander (Co-Investigator)Rupert Hough (Co-Investigator)Wipa Suginta (Co-Investigator)

Related Research

Grants with similar aims, by meaning.

Novel Molecular Approaches for Advancing Prediction and Mitigation of Disease Outbreaks in Aquaculture for Small Scale Farmers
AQUASoS: an integrative scalable interdisciplinary approach for climate resilient sustainable SE Asian aquaculture
A One Health framework to assess the risks of antimicrobial resistance in aquatic ecosystems in North-East Thailand and inform mitigation strategies
Production without medicalisation: a pilot intervention in global protein production
Poverty alleviation through prevention and future control of the two major socioeconomically-important pathogens in Asian aquaculture.

Original classification

Research and Innovation

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