This dataset contains agricultural crop survey observations collected across administrative regions including districts, taluks, hoblis, and villages. It records crop types, land extent, geographic coordinates, and seasonal survey details.
| Name | Type | Nullable | Description |
|---|---|---|---|
| CropSurveyDate | date | No | |
| Crop_Extent | string | No | |
| Cropname | categorical | Yes | |
| District_Name | categorical | No | |
| District_code | integer | No | |
| Hobli_Name | categorical | No | |
| Hobli_code | integer | No | |
| Image_url | string | Yes | |
| Latitude | float | No | |
| Longtitude | float | No |
The dataset consists of field-level crop survey records documenting agricultural land usage and crop conditions over time. Each entry represents a survey observation associated with a specific village and administrative hierarchy including district, taluk, and hobli. The dataset includes crop type information, extent of cultivated land, survey dates, seasonal classification, geographic coordinates, and administrative codes. Temporal attributes such as month, week name, and agricultural year are also included to support seasonal analysis and crop monitoring.
Most administrative and geographic fields are complete and consistently formatted. Some columns contain missing values including Cropname, Month, Weekname, and Image_url. The Image_url field appears to contain entirely missing values. Geographic coordinates are consistently populated, enabling spatial analysis.
Crop monitoring and agricultural planning, spatial analysis of crop distribution, agricultural policy analysis, yield estimation models, land use studies, and seasonal agricultural trend analysis.
Some categorical fields contain missing values which may reduce temporal resolution for certain records. The crop extent field is stored as a formatted string rather than numeric acreage, which may require preprocessing for quantitative analysis. Image_url data appears to be missing entirely.
Data was likely collected through periodic agricultural field surveys conducted by local agricultural departments or monitoring teams. Surveyors record crop types, land extent, location coordinates, and administrative identifiers during field inspections, which are then compiled into a centralized dataset.
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