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Classification of smoke contaminated Cabernet Sauvignon berries and leaves based on chemical fingerprinting and machine learning algorithms

Posted on September 5, 2020

Smoke

To read the full paper click HERE

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« Assessment of smoke contamination in grapevine berries and taint in wines due to bushfires using a low-cost e-nose and an artificial intelligence approach Editorial: Special Issue “Emerging Sensor Technology in Agriculture” »

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