Agriculture Robotics

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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

Other Use Cases

Precision Farming