Overview |
Crop Production |
Crop Pattern |
Crop Yield |
Irrigation |
Soil Management | Precision Farming |
Relevant Products |
Relevant Links
Geospatial applications in precision farming - A case study in West Bengal Vector (ARC-E00) of plots along with its geocoordinates is imported. Database for fertility classes of plots and productivity are imported and attached to the vector of plots. Productivity potential field of the database is used for processing the vector to generate productivity potential raster for paddy and vegetables. Field containing fertility details of plots is used for generating fertility class raster – training set - for the study area. A RGB image was classified via automatic classification to create a training set. The training set created using the attributes of vector of plots was used as a reference for ground truths. 
Polygon grid cell properties are extracted from productivity potential raster, training set raster and yield surface raster created earlier. A table with computed fields (with implied one-to-one attachment with polygon ID) is created with a view to facilitate modeling the precision farming actions such as application of fertilizers, etcetera. 
Theme maps for each of the computed fields were created in order to facilitate visualization of the effect of changes made in the intended action via management formulas for planting, fertilizer and pesticide application rates. 
Surface rasters of soil samples of pH and potassium are used to create a management layer via raster expression regions. |