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

The dataset includes 25104 records of crop surveys. Each record captures information about a specific surveyed plot, including the survey date, the crop grown (e.g., Paddy-H, Paddy-L, Fallow, Sugarcane), the land area in a traditional format (acres-gunthas-square yards), and the geographical location. The data is organized by administrative divisions: District (Koppal), Taluk (Gangavathi), Hobli (e.g., Siddapura), and Village. It also includes survey-specific metadata like survey ID, week, and season code. The primary purpose is to monitor agricultural land use and crop patterns during the Kharif season.

Data Quality

The dataset appears to have good coverage across the region, with multiple entries per village. However, there are some inconsistencies: the 'Crop_Extent' column uses a non-standard format (e.g., '3-2-0.00') that requires parsing, and the 'Month' column contains inconsistent values (e.g., 'april', 'May', 'june', 'march', 'january', 'February') which may lead to sorting issues. The 'Image_url' column is entirely empty, and the 'CropSurveyDate' column is in a day-month-year format, which could be standardized. Some columns like 'Weekname' are sparsely populated. The coordinate data (Latitude, Longtitude) appears complete and is crucial for geospatial analysis.

Use Cases

1. Agricultural land use mapping and analysis in Koppal district. 2. Studying crop diversification patterns during the Kharif season. 3. Validating remote sensing data for crop classification. 4. Identifying fallow land for potential agricultural intensification. 5. Supporting agricultural policy and planning at the district level.

Limitations

1. The dataset is limited to one season (Kharif) and one year (2018-2019). 2. The 'Crop_Extent' field is in a textual format (A-G-Y), requiring transformation for area calculations. 3. The 'Month' field has inconsistent casing and values. 4. There is no information on farmer demographics, irrigation sources, or crop yield. 5. The 'Image_url' field is empty, indicating missing supporting imagery.

Methodology

The data was likely collected through field-level surveys conducted by agricultural extension officers or surveyors. They would visit individual plots, record the location using GPS, identify the crop being cultivated, and measure or estimate the area under cultivation. The data was then compiled into a digital format, possibly using a standardized form or mobile application. The survey likely covered the entire Kharif season, with multiple rounds to capture changes in crop status.