Druid, a precision agriculture innovator, collaborated with GoML to close a critical gap in crop intelligence. Despite IoT cameras and telemetry sensors capturing rich field data, Druid lacked AI for automated crop recognition and counting.
Together, they built a lightweight computer-vision PoC that uses CNN/VLM models to identify 10 crop varieties and object detection to count plants, delivering instant results via Streamlit.
Integrated with AWS, Claude 3.7, and full traceability in S3, the solution achieved 80% accuracy and 90% faster insights. It redefined Druid’s decision-making, turning raw images into actionable intelligence for smarter, sustainable farming practices.
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