This dataset contains detailed crop survey records including crop types, locations, and seasonal attributes across multiple regions.
| Name | Type | Nullable | Description |
|---|---|---|---|
| CropSurveyDat | date | No | |
| Crop_Extent | string | No | |
| Cropname | categorical | Yes | |
| District_Name | string | No | |
| District_code | integer | No | |
| Hobli_Name | string | No | |
| Hobli_code | integer | No | |
| Image_url | string | Yes | |
| Latitude | float | No | |
| Longtitude | float | No |
The dataset captures extensive agricultural survey data including crop types, geographic hierarchy (district, taluk, hobli, village), and spatial coordinates. It also includes temporal attributes such as survey date, season, and year, enabling time-based agricultural analysis. The dataset is larger and more comprehensive than typical survey samples, making it suitable for large-scale analytics.
The dataset is largely complete with consistent formatting across most fields. However, Image_url is entirely missing, and Month and Weekname have significant missing values (~76%). Cropname has minimal missing entries. Crop_Extent is stored as a string and may require transformation. Overall structure is consistent.
Large-scale agricultural analysis, crop distribution modeling, seasonal trend analysis, geospatial mapping, policy planning, yield estimation support, and machine learning for crop prediction.
Crop extent is not numeric and requires parsing. Image data is unavailable. Month and Weekname fields have high missing rates. No direct yield or productivity metrics are included.
Data was likely collected via structured agricultural field surveys with enumerators capturing crop details, geographic identifiers, and timestamps during different agricultural seasons.
License: GODL-India — This dataset is licensed for use by the purchasing entity. Refer to the specific license terms for permitted use.
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