arXiv Computer Vision October 19, 2026 By Piper Powell, Robert Franz, Amos Smith, Isaak Ihorst, Joachim Hertzberg, Martin Atzmueller

ADA 2025: A Multimodal Dataset for Water-Deficit Stress Detection in Sugar Beets

Read the original on arXiv Computer Vision →

ADA 2025 is a publicly released multimodal dataset exceeding 500 GB, featuring young sugar beet plants under healthy and water‑deficit conditions. It combines thermal, hyperspectral, RGB, and depth imagery with environmental metadata, relative water content, and leaf thickness as ground‑truth labels. The dataset addresses gaps in current AI/ML crop‑management research by providing diverse modalities, accurate metadata, and frequent data points for early stress detection.

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multimodal

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multimodal

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multimodal

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computer-vision

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computer-vision benchmarks

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fine-tuning benchmarks

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