Aquaculture Water Quality Dataset (Mendeley Data)
Labelled water quality dataset (poor/good/excellent classes) for fish ponds with parameters such as temperature, turbidity, dissolved oxygen and other indicators, designed to train and test machine learning models for water quality assessment.
data.mendeley.com
At a glance
- Region
- Asia
- Coverage
- Aquaculture ponds (labelled samples)
- Access
- Free
- Category
- Research
- Last updated
- 2024
What's inside
- Water quality
- Turbidity
- Dissolved oxygen
- Temperature
Terms explained
What you can do with it
Typical work that data of this type supports.
- 01
Hotspots and trends
Find where contamination is high and whether it is getting worse.
Because it has: Water quality
- 02
Compliance checks
Compare samples against drinking water and discharge standards.
- 03
Risk screening
Screen projects and assets for climate risk.
Because it has: Temperature
Where AI adds value
Ideas for machine learning and AI agents built on this kind of data.
- 01
Risk maps
Predict contamination where no samples exist, from geology, land use and climate.
- 02
Anomaly alerts
Catch sudden spikes in sensor or lab data automatically.
- 03
Bias correction
Correct and downscale climate model output for a site.
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- Mekong River CommissionAsia | Free
- Mekong River Commission DataAsia | Free
- AI-KOSH - Status of Water Quality in India DatasetsAsia | Free
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