Abstract
"Real-time water quality monitoring (pH, DO, Turbidity) using IoT sensors to predict fish health in aquaculture ponds."
Description
This dataset contains environmental monitoring data from IoT sensors deployed in aquaculture ponds. It tracks critical water parameters to ensure the health of Tilapia fish.
Sensor Data Points:
- Dissolved Oxygen (DO): Critical for aquatic life survival.
- pH Level: Acidity/Alkalinity measurement.
- Turbidity: Water clarity and suspended particles.
- Temperature: Water temperature variations.
Application:
Ideal for building Smart Farming systems and automated water quality alert mechanisms.
Source: Kaggle Open Datasets - Licensed for Research.
📊 View Data Structure
To explore column names, data types, and sample rows, visit the official dataset page on External.
Preview on External
Cite This Dataset
External (2026). IoT Water Quality & Aquaculture Health Monitor. [Dataset]. External. https://www.kaggle.com/datasets/jocelyndumlao/iot-monitoring-of-water-quality-and-tilapia
Select your preferred citation style above. The citation will automatically update and you can copy it to your clipboard.
Original source: External (2026). Visit official page for more details.
Indexed by IoTDataset.com on Jan 06, 2026
Ready to Start Your Research?
Download this dataset directly from the official repository and start building your next breakthrough project.