Project Details
Description
Vietnam is considered a world model for poverty reduction thanks to its reliance on sustainable agricultural
economic development models, especially marine economic models, including shrimp farming models in coastal
waters. Recent statistics show that Vietnam's shrimp export turnover achieved a record 4.3 billion USD in 2022
and employs millions of local people. However, this achievement is unstable and faces significant challenges,
particularly regarding disease outbreaks, water quality management, feed management. It is reported that
Vietnam’s shrimp farming survival rate is below 40 percent, lower than Ecuador's (90 percent) and India's (60-70
percent). More importantly, water quality (water temperature, hypoxia, salinity, ammonia, etc. ) plays an
outstanding role in shrimp mortality.
Even with the above reasons indicated, shrimp production in Vietnam is still fumbling around with sustainable
strategies to improve its quality due to a lack of overall management tools, especially forecasting and preventing
epidemics.
Machine learning and AI are promising approaches to be applied in this area. Unfortunately, in Viet Nam, there is
a lack of good quality data sets for AI. The environmental monitoring data in Vietnam is often collected, counted,
and stored discretely. The united methodology to obtain and mine environmental data to predict and warn
about the quality of the aquaculture environment is extremely important.
This project proposes to build a long-term collaboration network (called Net4AquaData) between Ha Long
University in Vietnam and Edge Hill University in the UK with other collaborators in the 2 countries to share
knowledge and experience to tackle the above challenge.
economic development models, especially marine economic models, including shrimp farming models in coastal
waters. Recent statistics show that Vietnam's shrimp export turnover achieved a record 4.3 billion USD in 2022
and employs millions of local people. However, this achievement is unstable and faces significant challenges,
particularly regarding disease outbreaks, water quality management, feed management. It is reported that
Vietnam’s shrimp farming survival rate is below 40 percent, lower than Ecuador's (90 percent) and India's (60-70
percent). More importantly, water quality (water temperature, hypoxia, salinity, ammonia, etc. ) plays an
outstanding role in shrimp mortality.
Even with the above reasons indicated, shrimp production in Vietnam is still fumbling around with sustainable
strategies to improve its quality due to a lack of overall management tools, especially forecasting and preventing
epidemics.
Machine learning and AI are promising approaches to be applied in this area. Unfortunately, in Viet Nam, there is
a lack of good quality data sets for AI. The environmental monitoring data in Vietnam is often collected, counted,
and stored discretely. The united methodology to obtain and mine environmental data to predict and warn
about the quality of the aquaculture environment is extremely important.
This project proposes to build a long-term collaboration network (called Net4AquaData) between Ha Long
University in Vietnam and Edge Hill University in the UK with other collaborators in the 2 countries to share
knowledge and experience to tackle the above challenge.
Short title | Net4AquaData |
---|---|
Status | Not started |
Effective start/end date | 31/03/25 → 28/02/26 |
Collaborative partners
- Edge Hill University
- Ha Long University (lead)
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
Keywords
- Aquaculture
- Data Analytics
- Security
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