Agriculture Robotics

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Usecases / Agriculture


Groundwater density can affect farmers, especially those who are dependent on timely rains for cultivation of crops. Agriculture is slowly becoming digital and AI in agriculture is emerging in three major categories.

  • Agricultural Robotics
  • Soil and Crop Monitoring
  • Predictive Analytics

Farmers are increasingly using sensors and soil sampling to gather data and this data is stored on Farm Management System that allows for better processing and analysis of agricultural data. The availability of this data and other related data is paving a way to deploy BrAeIn AI in agriculture

  • BrAeIn captures complete insight of the crop's growth and health
  • BrAeIn can analyze a particular farming area and determine health of the crop to provide suggestive measures
  • Captures complete crop growth pattern, even in late stages of growth
  • BrAeIn generates complete high-quality analytical results
  • Analyzed results can be viewed and further synthesized periodically through auto-generated reports

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