Abstract
"Standard precision agriculture dataset using N, P, K, pH, Temperature, and Humidity to recommend the ideal crop type."
Description
Dataset Overview
This dataset is essential for Precision Agriculture. It helps in building recommendation systems that suggest the best crop to grow based on soil chemical composition and environmental factors.
Parameters (Features)
- N, P, K: Ratio of Nitrogen, Phosphorus, Potassium in soil.
- Temperature & Humidity: Environmental readings.
- pH: Soil acidity level.
- Rainfall: Water availability in mm.
- Label: The recommended crop (e.g., Rice, Maize, Coffee).
Data Preview
| Crop | N | P | K | Moisture | pH |
|---|---|---|---|---|---|
| Rice | 90 | 42 | 43 | 20.8 | 6.5 |
| Maize | 85 | 58 | 41 | 28.2 | 7.0 |
| Coffee | 104 | 18 | 30 | 23.6 | 6.7 |
Showing first few rows for preview
Cite This Dataset
External (2026). Smart Crop Recommendation (NPK & Soil Analysis). [Dataset]. External. https://www.kaggle.com/datasets/atharvaingle/crop-recommendation-dataset
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Original source: External (2026). Visit official page for more details.
Indexed by IoTDataset.com on Jan 12, 2026
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