Hydroponic Lettuce TDS Time-Series Dataset
Description
This dataset contains time-series measurements of Total Dissolved Solids (TDS) collected from an Internet of Things (IoT)-based hydroponic lettuce monitoring system. TDS was measured using a DFRobot Gravity Analog TDS Sensor connected to an ESP32 DevKit V1 and is expressed in parts per million (ppm). The dataset consists of 4,320 sequential observations collected from January 17 to January 31, 2026, over a 15-day monitoring period. Measurements were automatically recorded at approximately five-minute intervals. Each record contains two variables: Datetime, representing the date and time of measurement, and TDS, representing the measured nutrient concentration in ppm. The TDS values range from 550 to 961 ppm. The dataset contains no missing values or duplicate records and is maintained in chronological order. The data are provided as raw timestamped measurements without feature engineering, allowing users to apply their own preprocessing and analytical methods. The dataset can support research on hydroponic nutrient monitoring, time-series analysis and forecasting, anomaly detection, machine learning and deep learning, adaptive sensing, and IoT-based smart agriculture. In particular, it can be used to develop and evaluate predictive models for nutrient concentration and data-driven monitoring strategies in hydroponic cultivation.
Files
Institutions
- Lambung Mangkurat UniversitySouth Kalimantan, Banjarmasin