
SaaS / AI Systems
AI crop yield predictive analytics model processing soil sensor data, weather records, and historical harvests to advise large commercial growers.
Challenge
Farming groups had access to IoT sensors but lacked a unified dashboard translating sensor readings into proactive watering and crop harvesting schedules.
Solution
We designed a localized analytics platform showing soil moisture warnings, regional weather alerts, and predictive crop harvesting maps.
Outcome metrics
+28%
yield increase
2m
AI development
850
sensors active
Beta
stage
Tech stack
More work
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