Precision Agriculture: Soil Moisture & Weather Station Logs
Abstract
"Sensor readings from agricultural IoT nodes monitoring soil moisture, pH levels, and local weather conditions for irrigation automation"
Description
This comprehensive dataset simulates a Smart Farming IoT Network collecting environmental and soil metrics for yield prediction.
Dataset Specifications:
- Sensor_ID: Unique identifier for IoT node.
- Soil_Moisture (%): Real-time volumetric water content.
- Temperature (°C) & Humidity (%): Ambient weather conditions.
- Soil_pH: Acidity levels monitored by electrochemical sensors.
- Target: Crop Yield Prediction (kg/ha).
Potential Use Cases: Precision irrigation algorithms, yield forecasting using Regression models, and edge-computing optimization for Agritech.
📊 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). Precision Agriculture: Soil Moisture & Weather Station Logs. [Dataset]. External. https://www.kaggle.com/datasets/atharvasoundankar/smart-farming-sensor-data-for-yield-prediction
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 05, 2026
Ready to Start Your Research?
Download this dataset directly from the official repository and start building your next breakthrough project.