Fish Health and Water Quality Monitoring Dataset (Montería, 2024) – Tilapia (Oreochromis niloticus)
Description
This dataset contains six months of water quality and fish health monitoring data collected from aquaculture ponds in Montería, Colombia. The dataset focuses on tilapia (Oreochromis niloticus), using an IoT-based system to monitor critical parameters such as dissolved oxygen (DO), pH, water temperature, and turbidity. Fish health indicators, including average fish weight and survival rate, are also recorded. The data was collected from January to June 2024, with readings taken every 6 hours to capture daily fluctuations and ensure comprehensive monitoring of water conditions and fish health. --- Files Included: 1. Data Model IoTMLCQ 2024.xlsx - Contains sensor readings and fish health data collected over six months. - Columns: - Month: Data collection month (January to June). - Average Fish Weight (g): The average weight of the tilapia fish in grams. - Survival Rate (%): Percentage of fish survival during the monitoring period. - Disease Occurrence (Cases): Number of disease cases observed. - Temperature (°C): Water temperature readings. - Dissolved Oxygen (mg/L): Levels of dissolved oxygen in the water. - pH: Water pH values. - Turbidity (NTU): Water turbidity measured in Nephelometric Turbidity Units (NTU). - Oxygenation Interventions: Whether oxygenation was applied (Yes/No). - Corrective Interventions: Number of corrective measures taken. --- Data Collection Method: The data was collected using IoT sensors strategically placed in the aquaculture ponds. Readings were taken every 6 hours throughout the monitoring period. This dataset provides valuable insights into the relationship between water quality parameters and the health of Tilapia (Oreochromis niloticus). --- Usage Notes: - This dataset can be used for research in aquaculture management, water quality monitoring, and predictive modeling of fish health and growth. - Missing data due to sensor or communication failures were addressed using interpolation methods. - Regular sensor calibrations were performed to ensure accuracy in the collected data. ---