This dataset contains detailed crop survey records across administrative regions for the agricultural year 2018–2019.
| Name | Type | Nullable | Description |
|---|---|---|---|
| CropSurveyDate | date | No | |
| Crop_Extent | string | No | |
| Cropname | categorical | Yes | |
| District_Name | string | No | |
| District_code | integer | No |
The dataset includes granular crop survey observations collected at village-level across districts, taluks, and hoblis. It captures crop types, survey dates, geographic coordinates, crop extent, seasonal classifications, and administrative codes. The dataset enables tracking of crop distribution and agricultural activity over time.
The dataset is well-structured but contains missing values in columns such as Cropname, Month, and Weekname. The Image_url column is completely null. Crop_Extent is stored as a string rather than numeric, limiting direct quantitative analysis. Overall consistency in categorical and geographic fields is good.
Crop monitoring, agricultural planning, yield estimation, geospatial analysis, seasonal trend analysis, and machine learning applications in agri-tech.
High missing values in temporal granularity fields (Month, Weekname) may affect time-based analysis. Crop extent is not numerically formatted. No image data despite column presence.
The data appears to be collected through field-level agricultural surveys or monitoring systems, aggregated across administrative hierarchies during the 2018–2019 crop year.
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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