Crop Survey of MUNDAGODA Hobli of Mundgod Taluk of Uttar Kannada District of Karnataka for Kharif Season 2018-19

The dataset is a comprehensive record of individual crop surveys conducted in Mundgod Taluk during the Kharif season of 2018-2019. Each row represents a survey entry for a specific plot of land, detailing the crops grown (e.g., Paddy, Maize, Sugarcane, Betel Nuts), the area under cultivation (expressed in a custom format), and the precise geographic location (latitude and longitude). It also includes information on the survey timing (date, month, week) and the administrative hierarchy (District, Taluk, Hobli, Village). The data can be used to analyze crop patterns, estimate production, and study land use in the region.

Data Quality

The dataset is extensive with a large number of entries, providing good coverage for the Mundgod Taluk. However, there are several data quality issues. The 'Crop_Extent' column uses a non-standard format ('A-B-C'), which lacks clear definition and requires interpretation. There are many missing values in the 'Cropname' and 'Month' columns, making analysis for those entries incomplete. The 'Weekname' column also has a significant number of missing values. Overall, while the dataset is rich in geospatial and categorical information, inconsistencies and missing data in key fields need to be addressed.

Use Cases

Analysis of crop diversity and prevalence in the region. Geospatial mapping of crop types across the taluk. Estimation of cultivated area for different crops. Temporal analysis of survey activities and crop cycles. Administrative planning and resource allocation for agriculture.

Limitations

The ambiguous format of the 'Crop_Extent' column is a major limitation, making area calculations difficult without external definitions. Inconsistent and missing data in 'Cropname' and 'Month' columns reduce the usability of a significant portion of the records. The data is limited to a single taluk for one agricultural year, which restricts broader regional or multi-year trend analysis.

Methodology

The data was likely collected through direct field surveys by agricultural officers or enumerators. For each plot, they recorded the crops being cultivated, the estimated extent of cultivation (in a local unit), and the GPS coordinates. The survey was conducted over several months, with each entry timestamped. The data was then compiled into a digital format (CSV) for reporting and analysis.