Crop Survey of DABAKA Hobli of Aurad Taluk of Bidar District of Karnataka for Kharif Season 2018-19
This dataset contains agricultural crop survey records documenting crop types, cultivated land extent, and geospatial coordinates across administrative regions.
Dataset Metrics
Data Format
Dataset Schema (10 features)
| 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 |
License & Compliance
About This Dataset
The dataset records crop survey observations collected from villages, taluks, and districts. Each record contains a survey date, crop name, cultivated land extent, and hierarchical administrative information including district, taluk, hobli, and village identifiers. The dataset also includes agricultural season classifications, time attributes such as month and week, and geographic coordinates which enable spatial analysis and mapping of crop cultivation patterns.
Data Quality
Administrative and geographic fields are consistently populated and structured. The Cropname column contains some missing values. Temporal attributes such as Month and Weekname also have partial missing entries. The Image_url column contains only null values, indicating that image metadata was not collected or removed. Overall structural consistency across records is high.
Use Cases
Crop distribution analysis, agricultural land use monitoring, geospatial crop mapping, government agricultural planning, seasonal crop analysis, GIS-based farmland monitoring, and crop production forecasting.
Limitations
Crop extent values are stored as composite string-based land measurement units which may require conversion for quantitative analysis. Some crop name and temporal values are missing. The dataset also includes an image URL column with no data, limiting potential visual verification of survey entries.
Methodology
The dataset was likely generated through government or institutional crop survey programs where field officers collect crop data using digital survey tools. Surveyors record crop types, cultivated area measurements, administrative region identifiers, and GPS coordinates during seasonal agricultural inspections.
Geographic Coverage
Source Information
Governance & Review
Usage & Restrictions
License: GODL-India — This dataset is licensed for use by the purchasing entity. Refer to the specific license terms for permitted use.
Access Control: Download links are time-limited and single-use. All access is logged for audit purposes.