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Plant stress early detection through a low-cost multispectral device: Toward safer and more sustainable agricultural practices.
Europe PMC · 2026-06-14
Researchers built a cheap, portable device that uses light sensors and AI to detect plant stress early — before visible damage appears — and can tell apart different levels of severity with 91% accuracy.
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The multispectral device achieved an average stress classification accuracy of 91.0 ± 3.1% across different severity levels.
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The system automatically selects the most informative spectral features, removing the need to manually pick vegetation indices.
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The device uses a simple broadband LED plus a visible-to-near-infrared sensor, keeping costs low enough for small-scale growers and researchers.
