Our Domain experts in Agriculture support building analytics to facilitate institutions in planning, forecasting and resource management .Remote Sensing being used as the primary inquest tool to estimate crop types, planted area and potential yields. Ancillary data from government and other public sources are used in our analysis.
          kCube maintains an extensive repository of relevant datasets for running sophisticated analytics using state of the art computing infrastructure. Cloud computing comes into play when higher processing and 24/7 available needs are critical for the success of any project.  Our desktop product “Data Steer”  was created to support precision agriculture needs  of a small farmer.


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