[Customer Success Story] How AgTech Company Metafarmers Built Crop Recognition Datasets for Harvesting Robot Vision

Metafarmers, an AgTech company developing AI-powered crop-harvesting robots, worked with Superb AI to create scalable training datasets for perception models that recognize seedlings and mature harvest targets. As agricultural robotics demand grows amid rural labor shortages, the company needed to move annotation work beyond its engineering team while maintaining accuracy in complex crop imagery, where overlapping leaves and stems can make object boundaries ambiguous. Superb AI established two annotation workflows, using bounding boxes for seedlings and instance segmentation for mature crops, and built on Metafarmers’ existing labeled data and guidelines to define consistent standards before production. The project provided training data for the robots and a repeatable external labeling pipeline, allowing Metafarmers’ engineers to focus on robot and model development while retaining final review capabilities through Superb Platform.

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