This dataset contains plot-level crop survey data for the Chikmagalur district in Karnataka, India, for the Kharif season of 2018-2019.
| Name | Type | Nullable | Description |
|---|---|---|---|
| CropSurveyDate | date | No | |
| Crop_Extent | string | No | |
| Cropname | string | Yes | |
| District_Name | string | No | |
| District_code | integer | No |
The data includes survey details for various crops such as Coffee (Arabica and Robusta), Pepper (Black), Paddy, Areca Nuts, and others. Each record corresponds to a surveyed plot, providing information on the crop type, its extent, the survey date, and the precise geographic location (latitude and longitude). The data also includes administrative divisions like District, Taluk, Hobli, and Village, which allows for granular spatial analysis of agricultural practices in the region during the specified season.
The dataset appears to be well-structured with consistent formatting for most fields. The 'Crop_Extent' column uses a non-standard format (A-B-C), which may require parsing. The 'Weekname' column has many null values, and the 'Month' column has inconsistent and missing data. Overall, the data quality is good for its primary purpose of recording surveyed crop plots.
1. Agricultural land-use analysis in Chikmagalur. 2. Crop distribution mapping and visualization. 3. Yield estimation and agricultural planning. 4. Temporal analysis of survey data for the Kharif season. 5. Spatial analysis of specific crop types (e.g., coffee, pepper) across different administrative levels.
The dataset is limited to a single season (Kharif 2018-2019) and a single district (Chikmagalur). The non-standard extent format and missing week/month data may require preprocessing. No information on the survey methodology or plot area is provided in the data itself, limiting its use for precise yield calculations.
The data was likely collected through field surveys conducted by agricultural officers or enumerators. Surveyors visited individual plots, recorded the crop type, estimated or measured the extent of cultivation, and captured the geographic coordinates using GPS devices. This information was then compiled into a central database, from which this CSV file was exported.
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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