Synthetic Shrimp Water Quality Dataset

Shrimp water quality is a domain-informed synthetic aquaculture dataset developed for water quality prediction, environmental forecasting, and digital twin research in shrimp farming systems. The dataset was generated using shrimp aquaculture domain knowledge, environmental constraints, biological response relationships, and operational management rules commonly reported in aquaculture literature. Features include: • pH• Dissolved Oxygen (DO)• Salinity• Ammonia (NH3)• Nitrate• Total Dissolved Solids (TDS)• Oxidation Reduction Potential (ORP)• Turbidity• Humidity• Water Temperature The dataset is intended for: • Machine Learning• Deep Learning• Water Quality Prediction• Time-Series Forecasting• Digital Twin Systems• Smart Aquaculture Research This dataset is synthetic and was generated to reflect realistic shrimp pond environmental dynamics and water quality-related conditions. Citation If you use this dataset in academic research, please cite: Madhu Kiran Kallu. Shrimp Water Quality: Synthetic Shrimp Pond Water Quality Dataset. Kaggle Dataset.