This dataset contains agricultural crop survey records including crop types, cultivated area, geolocation, and administrative divisions for the 2018–2019 agricultural year.
| Name | Type | Nullable | Description |
|---|---|---|---|
| CropSurveyDate | date | No | |
| Crop_Extent | string | No | |
| Cropname | categorical | Yes | |
| District_Name | categorical | No | |
| District_code | integer | No |
The dataset captures detailed crop survey observations collected at the field level, including crop names, extent of cultivation, and timestamps of surveys. It includes hierarchical administrative information such as district, taluk, hobli, and village, along with geographic coordinates (latitude and longitude). Temporal attributes like month, week, season, and year are also included, enabling seasonal and time-based analysis. Each record is uniquely identified using a survey ID, and additional metadata such as image URLs (though mostly missing) suggests integration with field imagery systems.
The dataset is largely complete for structural and geographic fields. However, there are notable missing values in columns such as Image_url (entirely missing), Month and Weekname (significantly incomplete), and minor missing values in Cropname. Data types are consistent, but Crop_Extent is stored as a string in a composite format (likely acres-guntas representation), which requires parsing for quantitative analysis.
Crop yield analysis, agricultural planning, geospatial mapping of crop patterns, seasonal trend analysis, policy planning, precision agriculture, and remote sensing validation.
Crop extent is not in a directly numeric format, requiring transformation. Image data is unavailable despite the presence of a column. Temporal fields such as month and week are partially missing, limiting time-series completeness. The dataset appears restricted to a specific region and year.
Data was likely collected through field surveys conducted by agricultural officers or digital survey tools, capturing crop details along with GPS coordinates and administrative classification. The inclusion of survey IDs and timestamps indicates structured digital data collection processes.
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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