most citedIn-Field Mapping of Grape Yield and Quality with Illumination-Invariant Deep Learning

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cs.CV2025★ 1 cited

In-Field Mapping of Grape Yield and Quality with Illumination-Invariant Deep Learning

Ciem Cornelissen, Sander De Coninck, Axel Willekens +2

This paper presents an end-to-end, IoT-enabled robotic system for the non-destructive, real-time, and spatially-resolved mapping of grape yield and quality (Brix, Acidity) in viney…