This dataset contains agricultural crop survey observations collected from multiple administrative regions, recording crop types, cultivated land extent, survey timing, and geographic coordinates.
| 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 includes field-level crop survey records documenting agricultural activity across districts, taluks, hoblis, and villages. Each entry represents a crop observation recorded during a survey visit. The dataset includes information about crop names, cultivated land extent, survey dates, agricultural seasons, geographic coordinates, and administrative region codes. Temporal attributes such as month, week name, and agricultural year are included to support time-series analysis and seasonal agricultural monitoring.
Most administrative fields and geographic coordinates are complete and consistently formatted. Some columns contain missing values including Cropname, Month, and Weekname. The Image_url column contains only missing values. Data formatting is generally consistent across rows, but the Crop_Extent field is stored as a formatted string rather than a numeric measurement, which may require preprocessing for quantitative analysis.
Agricultural crop distribution analysis, seasonal crop monitoring, geospatial mapping of crop patterns, agricultural policy planning, land-use analysis, and development of crop prediction or yield estimation models.
Crop extent values are stored in a formatted string representation instead of numeric acreage or hectare values, which may require transformation for analysis. Some categorical fields such as Cropname, Month, and Weekname contain missing values. Image references are absent, limiting visual verification of crop observations.
The data was likely collected through structured agricultural field surveys conducted by regional agricultural departments or monitoring agencies. Surveyors recorded crop information, cultivated land extent, administrative identifiers, and geographic coordinates during field visits, and the data was later compiled into a centralized dataset.
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