Crop Survey of BANAVASI Hobli of Sirsi Taluk of Uttar Kannada District of Karnataka for Kharif Season 2018-19
This dataset provides the crop survey records of Amrutapura Hobli, Tarikere Taluk, Chikmagalur District, Karnataka for the Kharif season 2018–20
Dataset Metrics
Data Format
Dataset Schema (6 features)
| Name | Type | Nullable | Description |
|---|---|---|---|
| Taluk_Name | string | No | Name of the taluk where the crop survey observation was recorded. |
| Hobli_code | integer | No | Administrative code representing the hobli subdivision within the taluk. |
| Survey_id | integer | No | Unique identifier assigned to each crop survey record. |
| District_code | integer | No | Administrative code representing the district where the surveyed agricultural field is located. |
| District_Name | string | No | Name of the district where the crop survey was conducted. |
| Taluk_code | integer | No | Administrative code representing the taluk where the surveyed field is located. |
License & Compliance
About This Dataset
It includes details such as crop names, cultivated area, farmer/plot-level survey data, geographic coordinates, and field images, useful for analyzing cropping patterns, land utilization, and agricultural conditions in the region during the specified season.
Data Quality
Administrative identifiers and geographic coordinates appear consistently recorded across most entries. Some columns such as Cropname, Month, and Weekname contain missing values. The Image_url field contains mostly null values. Crop_Extent values appear to be stored as string-formatted measurements instead of numeric values and may require transformation for quantitative analysis.
Use Cases
Agricultural monitoring, crop distribution analysis, geospatial farmland mapping, agricultural planning and policy development, crop yield estimation modeling, and research on regional agricultural patterns.
Limitations
The dataset is limited to Banavasi Hobli within Sirsi Taluk and therefore does not represent agricultural activity across wider regions. Missing values in certain temporal fields reduce time-based analytical precision. Crop extent measurements require preprocessing before numerical analysis.
Methodology
The dataset was likely compiled through periodic government agricultural field surveys where survey officers recorded crop types, cultivated land area, administrative identifiers, and GPS coordinates during crop inspection programs.
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.