Hi-fidelity computer object recognition based horticultural feedback loop

A computer system uses cameras to monitor plants, taking pictures that are sent to a central server. This server analyzes the images to identify plants and spot any problems, then suggests a solution. The claims specifically cover the computing device and its software for receiving and preprocessing images to detect these plant anomalies.

Why it matters: Filed before modern deep learning models for computer vision were widely accessible. The software components for image analysis and classification are now significantly easier to implement and more powerful.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedHeavy software system, computer vision, cameras, server.

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