How Our Computer Vision Works:
‍Seeing Every Plant, Every Day

We all use vision to understand the world. Our eyes see, and our brain interprets. Computer vision replicates this process using cameras and software, enabling machines to "see" like humans, but count faster, catch anomalies more precisely, and stay consistent at scale.

In greenhouses, this is a game-changer. By deploying cameras throughout the environment and training AI models to interpret images, we’ve created a system that can monitor every plant without slowing growth or adding labor.

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Rail & Roving Imaging System

The rail and roving imaging system comprised of aluminum rail placed at the truss level of your greenhouse guide mobile cameras that capture daily images of your crops. These images are sent to the cloud in real time, providing immediate visibility into plant health, growth, and trends.

Best suited for
Leafy Greens
Herbs
Propagation & Young Plants
Ornamentals

Trolley Mast Imaging System

Ideal for vine crops like tomatoes, cucumbers, and peppers. This system attaches to your existing trolley infrastructure and captures the entire plant from fruit to flower, delivering a full vine-level perspective without interfering with workflow.

Best suited for
Tomatoes
Cucumbers
Peppers
Strawberries

From Vision to Autonomy and Ownership

By imaging every plant throughout its lifecycle, LUNA builds a complete growth model for your crop. This model isn’t just descriptive, it’s predictive and prescriptive. We’re closing the loop between what the plant needs and how the environment responds, laying the foundation for truly autonomous growing. Every decision made inside LUNA—every measurement, adjustment, and steering action—builds your own crop strategy. That becomes proprietary intelligence for your operation. Unlike others in the industry, IUNU doesn’t claim ownership of your data. It’s yours, always.
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