Crop Survey of KUMBARAVADA Hobli of Joida Taluk of Uttar Kannada District of Karnataka for Kharif Season 2018-19

The dataset contains survey records of individual agricultural plots. Each record details the plot's location (District, Taluk, Hobli, Village), the crop grown (e.g., Paddy, Areca nuts, Coconut, Fallow land), the extent of the crop in a format likely representing acres, guntas, and cents (e.g., '0-13-0.00'), and the survey date. The data is organized by season (Kharif) and includes administrative codes and geographic coordinates for precise location mapping.

Data Quality

The dataset appears to be relatively complete with few missing values across key columns like 'Cropname' and 'Crop_Extent'. However, there are inconsistencies in date formats and some missing values in the 'Month' and 'Weekname' columns. The 'Crop_Extent' field, while formatted, lacks a clear explanation of its unit representation (likely Acres-Guntas-Cents). Coordinates are provided in decimal degrees.

Use Cases

1. Agricultural Land Use Analysis: Study the distribution and extent of various crops (e.g., Paddy, Areca nuts, Coconut) in the Honnavar region.\n2. Crop Pattern Mapping: Identify dominant crops and fallow land patterns across different villages and hoblis.\n3. Geospatial Analysis: Use the provided latitude and longitude to create crop distribution maps.\n4. Temporal Crop Monitoring: Analyze survey dates to understand the timing of Kharif crop assessments.\n5. Government Planning: Inform agricultural policy, subsidy distribution, and resource allocation for specific crops.

Limitations

1. Ambiguity in 'Crop_Extent': The exact unit of measurement (Acres-Guntas-Cents) is not explicitly defined in the data. 2. Temporal Inconsistency: Survey dates vary and are not strictly weekly, which may complicate temporal analysis. 3. Missing Geographic Detail: Some records lack specific 'Village_Name', which might be inferred from other columns but is not always present. 4. Single Season Data: This dataset only covers one agricultural season (Kharif 2018-2019), limiting trend analysis.

Methodology

Data was likely collected through ground-based surveys conducted by agricultural officers. Each plot's location was recorded (possibly via GPS), and the farmer's crop type and extent were documented. The data was then digitized, standardized with administrative codes, and compiled for the Kharif season.