Crop Survey of KIGGA Hobli of Sringeri Taluk of Chikmagalur District of Karnataka for Kharif Season 2018-19
This dataset provides a detailed record of crop surveys conducted in the Sringeri Taluk of Chikmagalur district, India, for the agricultural year 2018-2019. It includes information on crop types, their extent, survey dates, and precise geographic locations.
Dataset Metrics
Data Format
Dataset Schema (5 features)
| Name | Type | Nullable | Description |
|---|---|---|---|
| CropSurveyDate | date | No | |
| Crop_Extent | string | No | |
| Cropname | categorical | Yes | |
| District_Name | categorical | No | |
| District_code | categorical | No |
License & Compliance
About This Dataset
The dataset contains 11970 survey entries from the Kharif season of 2018-2019. Each record represents a crop observation at a specific location, identified by its latitude and longitude. Information includes the crop name (e.g., Areca nuts, Coffee, Paddy), its cultivation extent measured in a traditional 'acre-guntha' format, the administrative boundaries (District, Taluk, Hobli, Village) where the survey was conducted, and the date of the survey. The data is granular, allowing for analysis at the village and hobli level.
Data Quality
The dataset is highly complete with very few missing values. The primary data fields are fully populated. However, the 'Crop_Extent' column uses a non-standard format (acre-gunta) that requires parsing for quantitative analysis. Some entries in the 'Month' and 'Weekname' columns have inconsistent or missing data, but these are not the core focus of the dataset. Overall, the data quality is good for its intended purpose of detailed crop mapping.
Use Cases
Analyzing the spatial distribution of different crops within the Sringeri Taluk. Estimating the area under cultivation for various crops. Identifying dominant crops in specific villages and hoblis. Supporting agricultural planning and policy-making at a local level. Validating crop insurance claims or subsidy distributions.
Limitations
The dataset is limited to a single Taluk (Sringeri) and a single agricultural year (2018-2019), so it does not provide a regional or multi-year trend analysis. The 'Crop_Extent' data requires parsing to be used in numerical calculations. The absence of a dedicated 'Image_url' column (it is empty) prevents visual verification from aerial or satellite imagery.
Methodology
The data was collected through field surveys conducted by enumerators during the Kharif season of 2018. Each data point corresponds to a specific survey location (plot), where details about the crop type, its extent, and other attributes were recorded. The geographic coordinates (Latitude, Longtitude) were likely captured using GPS devices, providing high spatial accuracy for the survey points.
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.