Problem: Agromet advisories are issued to combat extreme weather conditions and help farmers take immediate decisions on harvesting, draining excess water and other rejuvenation measures. There was no application which could track more than 40 weather and plant measurements to give deeper visibility into climate variability, crop health, and the decisions they need to factor, such as event timing and irrigation.

The Arable App fills this gap.
Solution: To have devices that collect and synthesize in-field climate and plant data to produce actionable insights in all growing conditions. The solution uses a robust sensor suite with rugged durability and cutting-edge global cellular connectivity.

Machine learning is used to provide deeper insight to climate variability, crop health, etc. by tracking more than 40 parameters.

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