This dataset captures agricultural crop survey records with detailed geographic, temporal, and crop-specific attributes.
| Name | Type | Nullable | Description |
|---|---|---|---|
| CropSurveyDate | 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 |
he dataset consists of approximately 39,210 records representing crop survey data collected across multiple administrative units such as districts, taluks, hoblis, and villages. It includes information on crop types, cultivated area extent, survey timestamps, seasonal classifications, and geographic coordinates. Additional time-based attributes like month, week, and year enable temporal and seasonal trend analysis.
Core structural fields such as location identifiers and coordinates are consistently populated. However, there are missing values in Cropname, Month, and Weekname fields. Image_url is sparsely populated or inconsistent. Crop_Extent is stored as a formatted string rather than a numeric value, requiring preprocessing for analytical use.
Crop monitoring, agricultural planning, yield estimation, geospatial mapping, seasonal trend analysis, rural development research, and policy-making support.
Non-numeric crop extent limits quantitative analysis without transformation. Missing values in categorical fields reduce completeness. Image_url data is unreliable. Geographic metadata lacks explicit country/state labeling within the dataset itself.
Data was likely collected through structured agricultural field surveys conducted at local administrative levels, capturing crop details, geographic coordinates, and time-related attributes during survey visits.
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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