Crop Survey of NAVALI Hobli of Gangavathi Taluk of koppal District of Karnataka for Rabi Season 2018-19

The dataset provides detailed, geo-referenced records of crop cultivation across various villages (e.g., Uddihala, Navalikay, Hiredankanakal) within the Navalikay Hobli of Koppal district. Each record corresponds to a surveyed point, capturing the crop name, its status as a hybrid or local variety (indicated by '-H' or '-L' suffixes), the extent of cultivation, and the specific agricultural season and week. The data is primarily focused on the Kharif season and includes key crops such as Cotton, Paddy, Bajra (Pearl Millet), Maize, and Tur (Pigeon Pea). This structured format allows for precise spatial and temporal analysis of agricultural practices in the region.

Data Quality

The dataset is extensive with a high number of records, providing good coverage of the surveyed hobli. However, there are some inconsistencies: the `Cropname` column has mixed case entries (e.g., 'Cotton - H', 'Cotton - L', 'Cotton - h') and some values are blank. The `Weekname` column is also inconsistently formatted with variations like '1st week', '2nd week', '3rd week', '4th week', and '5th week', and is missing for many entries. The `Crop_Extent` column uses a non-standard format (e.g., '4-9-0.00') that requires parsing. Despite these issues, the core information (location, crop, season) is consistently present and reliable for analysis.

Use Cases

1. **Agricultural Mapping:** Visualize the spatial distribution of different crops across the villages. 2. **Crop Pattern Analysis:** Identify the predominant crops and their varieties (Hybrid vs. Local) within the Kharif season. 3. **Seasonal Trend Analysis:** Correlate crop types with specific planting weeks to understand agricultural calendars. 4. **Land Use Assessment:** Analyze the extent of cultivation for different crops in specific geographic areas.

Limitations

Data is limited to a single hobli (Navalikay) within one district for one agricultural year (2018-2019). The lack of standardized formatting in the `Cropname` and `Weekname` fields requires data cleaning before use. The `Crop_Extent` field is in a custom format and lacks clear units, making quantitative analysis of land area difficult without further interpretation or external data.

Methodology

The data was likely collected through a ground-based crop cutting experiment (CCE) or a similar field survey method. Surveyors visited pre-determined geo-referenced points, identified the crop being grown, its variety, and the stage of its growing cycle (season/week). The coordinates (`Latitude`, `Longtitude`) were recorded using GPS devices, providing high spatial precision for each observation.