Crop Survey of HITNALA Hobli of Koppal Taluk of koppal District of Karnataka for Rabi Season 2018-19
This dataset contains detailed crop survey information from the HITNALA Hobli in Koppal District, Karnataka, India, for the Kharif season of 2018-2019. It includes geolocated data on various crops, their condition, and land use.
Dataset Metrics
Data Format
Dataset Schema (5 features)
| Name | Type | Nullable | Description |
|---|---|---|---|
| CropSurveyDate | date | No | Date on which the crop survey was conducted, in DD-MM-YYYY format. |
| Crop_Extent | string | No | The extent or area of the crop. |
| Cropname | string | Yes | Name of the crop |
| District_Name | string | No | Name of the district. All entries are for 'koppal'. |
| District_code | integer | No | Name of the hobli (administrative unit within a taluk). All entries are for 'HITNALA'. |
License & Compliance
About This Dataset
The dataset comprises thousands of survey entries, each recording the crop type (e.g., Paddy, Maize, Tur), its condition (e.g., high-yield variety, local variety), the extent of cultivation, and the status of the land (e.g., fallow, under cultivation, non-agricultural land). Key attributes include the survey date, administrative divisions (district, taluk, hobli, village), precise geographic coordinates (latitude and longitude), and information about the planting month. The data provides a granular view of agricultural practices and land utilization in the region during the specified season.
Data Quality
The dataset is generally consistent with a large number of entries. However, several quality issues are present. There are many empty string values in columns like 'Month' and 'Weekname', which may indicate missing or unrecorded data. The 'Crop_Extent' column uses a non-standard format (e.g., '2-0-0.00', '3-8-0.00'), which may represent area in a format like acres-roods-perches or a local unit, requiring parsing. A few rows have missing 'Cropname' (empty strings). Coordinates appear to be present for all entries.
Use Cases
1. **Agricultural Planning:** Analyzing cropping patterns and land use for regional agricultural development. 2. **Crop Yield Estimation:** Using crop extent data as a factor in yield modeling. 3. **Disaster Management:** Assessing crop vulnerability and damage from natural calamities. 4. **Socio-economic Studies:** Correlating crop types with geographic and administrative regions.
Limitations
The dataset is limited to a single hobli (HITNALA) in one district for a single season (Kharif 2018-2019), so findings are not generalizable. The meaning of the values in the 'Crop_Extent' column is not explicitly defined. The 'Month' column, which likely indicates the planting month, has many missing values, limiting time-based analysis.
Methodology
The data was likely collected through field surveys, with surveyors visiting individual agricultural plots. The coordinates were recorded using GPS devices. The 'Survey_id' suggests a unique identifier for each survey instance. The 'Crop_Extent' was probably visually estimated or measured using local units.
Geographic Coverage
Source Information
Governance & Review
Usage & Restrictions
License: GODL-India — This dataset is licensed for use by the purchasing entity. Refer to the specific license terms for permitted use.
Access Control: Download links are time-limited and single-use. All access is logged for audit purposes.