Abstract
"Comprehensive IoT sensor data from smart farming systems. Includes soil moisture, temperature, humidity, NPK levels, and weather conditions for precision agriculture and crop yield optimization."
Description
Dataset Overview
Real-world inspired dataset capturing multiple sensor measurements from precision agriculture systems. Designed for developing smart farming solutions and crop management optimization models.
Soil Measurements
- Soil Moisture: Volumetric water content (%)
- Soil Temperature: Ground temperature (°C)
- Soil pH: Acidity/alkalinity levels (0-14 scale)
- NPK Levels: Nitrogen, Phosphorus, Potassium concentrations (ppm)
- Electrical Conductivity: Soil salinity indicator (dS/m)
Environmental Data
- Ambient Temperature: Air temperature (°C)
- Humidity: Relative humidity (%)
- Light Intensity: Solar radiation (lux)
- Rainfall: Precipitation measurements (mm)
- Wind Speed: Atmospheric conditions (km/h)
Crop Information
- Crop Type: Wheat, rice, corn, vegetables, fruits
- Growth Stage: Seedling, vegetative, flowering, harvest
- Irrigation Status: Automated watering system state
- Yield Prediction: Expected harvest (tons/hectare)
Applications
Precision irrigation scheduling, crop health monitoring, yield prediction models, fertilizer optimization, disease early warning systems, and automated farming decision support.
Data Preview
| Timestamp | Sensor_ID | Soil_Moisture_% | Soil_Temp_C | NPK_N_ppm | NPK_P_ppm | NPK_K_ppm | Humidity_% | Crop_Type | Irrigation_Status |
|---|---|---|---|---|---|---|---|---|---|
| 2024-01-10 06:00 | S001 | 45.2 | 22.5 | 85 | 42 | 38 | 68.5 | Wheat | OFF |
| 2024-01-10 06:30 | S002 | 28.7 | 24.1 | 92 | 38 | 45 | 72.3 | Rice | ON |
| 2024-01-10 07:00 | S003 | 52.3 | 21.8 | 78 | 45 | 40 | 65.2 | Corn | OFF |
Showing first few rows for preview
Cite This Dataset
Kaggle (2026). Smart Agriculture IoT Sensor Dataset. [Dataset]. Kaggle. https://www.kaggle.com/datasets/atharvaingle/crop-recommendation-dataset
Source: Kaggle (2026)
Indexed by IoTDataset.com on Jan 14, 2026
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