This dataset provides detailed agricultural survey data for the Humnabad Taluk in Bidar District, Karnataka, India, for the Kharif season of 2018-2019. It includes information on crop types, land extent, survey dates, and precise geographic coordinates for individual survey plots.
| Name | Type | Nullable | Description |
|---|---|---|---|
| CropSurveyDate | date | No | |
| Crop_Extent | string | No | |
| Cropname | categorical | Yes | |
| District_Name | categorical | No | |
| District_code | integer | No |
The dataset comprises survey records collected at the village, hobli, and taluk levels. Each record corresponds to a specific plot of land and includes details such as the crop grown (e.g., Tur (Arhar), Soyabean, Sugarcane), the land extent (in acres), the date of the survey, and the exact latitude and longitude of the plot. The data is structured to allow for spatial analysis and aggregation at various administrative levels (Village, Hobli, Taluk). It covers the Kharif season of the agricultural year 2018-2019.
The dataset appears to be comprehensive with few missing values in key fields like 'Cropname', 'Latitude', and 'Longtitude'. However, some fields like 'Image_url' are consistently empty. 'Month' and 'Weekname' have some missing or inconsistent entries (e.g., 'april' vs 'april' in 'Month', missing 'Weekname' for some entries). 'Crop_Extent' is a string with a specific format (e.g., '0-11-0.00') that may require parsing for analysis.
1. Agricultural planning and policy-making at the local level. 2. Crop yield prediction models. 3. Spatial analysis of crop distribution. 4. Land use pattern analysis. 5. Research into agricultural practices and their impact on rural economies.
The data is specific to one Taluk and one agricultural season, limiting its generalizability. The 'Crop_Extent' field requires parsing and might contain non-standard formatting. The survey dates are from a specific period and do not represent a full time series for the region.
The data was likely collected through field surveys by agricultural officers or enumerators. Surveyors visited specific plots, recorded the crop type, measured the land extent, and noted the survey date. The precise coordinates were likely captured using GPS-enabled devices. This data is then aggregated and compiled into this structured format for analysis.
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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