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

The dataset is a granular record of crop surveys conducted in the Koppal district. It includes entries for various crops such as Bajra, Maize, Tur (Arhar), Paddy, and others. For each survey point, it specifies the crop name, the area under cultivation (using a traditional land area format of acres-guntas), the survey date, and the precise geographic coordinates (latitude and longitude). It also includes administrative details like the village, hobli (a sub-district administrative unit), taluk, and district names along with their codes. The 'Season' column indicates it's a Kharif crop. The data appears to be collected through field surveys, with multiple entries per Survey ID, possibly representing different crops or measurements within the same surveyed plot.

Data Quality

Data quality appears moderate. There are several issues: the 'Crop_Extent' column uses a non-standard format ('acres-guntas-tenths?'), and there are many rows where the 'Cropname' is missing (blank). Date formatting is inconsistent (e.g., '29-09-2018' vs '05-10-2018'). The 'Month' column contains values that don't always match the 'CropSurveyDate' (e.g., 'march' for September survey dates), suggesting potential data entry errors. Many columns like 'Image_url', 'Weekname' have a high proportion of null values. Duplicate survey entries exist for the same 'Survey_id'.

Use Cases

Analysis of cropping patterns in the Koppal district. Geospatial analysis of crop distribution. Validation of reported crop areas. Studying crop diversity within villages. Tracking the Kharif cropping season. Input for agricultural planning and policy making.

Limitations

Data quality issues, including missing values and inconsistent formatting, require cleaning. The non-standard land area format ('Crop_Extent') needs parsing. Potential reporting bias in crop names. The dataset covers only one district for one season, limiting broader generalizability. Duplicate entries need to be handled.

Methodology

Data was likely collected through physical field surveys by agricultural officers. Surveyors recorded crop details, measured land extent, and captured GPS coordinates at each survey point. The data was then compiled into a digital format, possibly from paper forms or mobile data collection apps.