Soil‑Weather Multivariate Crop Disease Dataset
收藏Zenodo2026-04-29 更新2026-05-26 收录
下载链接：
https://zenodo.org/doi/10.5281/zenodo.19885786
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资源简介：
This dataset contains 250,000 real observations of crop, soil, and weather measurements collected from agricultural fields. It is designed for multi‑class disease forecasting in precision agriculture. The data can also be used for general supervised learning, feature engineering, and early warning system development.
Key Characteristics
Rows: 250,000
Features: 23 (raw + engineered)
Disease classes: 31
Crops: 6 (Maize, Potato, Rice, Sugarcane, Tomato, Wheat)
Temporal ordering: By an implicit time step (daily or near‑daily observations)
Feature Composition
Category
Variables
Soil properties
Nitrogen, Phosphorus, Potassium, pH Value, Soil Temperature
Weather measurements
Humidity, Rainfall, Weather Temperature (°F), Weather Humidity, Cloud Cover (%), Wind Speed (km/h), Rolling Rainfall (mm), Temperature Variance
Derived indicators
Weather Favorability Score, Low/High Temperature Warnings, High Humidity/Wind Warnings, Cloudy/Wet Spell Warnings
Engineered features
Thermal Gap, Moisture Gap, Stress Index, Crop‑Weather interaction, Thermal/Moisture/Wind‑Rain products, Crop‑Temperature
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Zenodo创建时间：
2026-04-29
