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Rapid Prediction of Adulteration Content in Atractylodis rhizoma Based on Data and Image Features Fusions from Near-Infrared Spectroscopy and Hyperspectral Imaging Techniques
Research article (Foods, 2023) · cited 22× · AI/ML
Rapid Prediction of Adulteration Content in Atractylodis rhizoma Based on Data and Image Features Fusions from Near-Infrared Spectroscopy and Hyperspectral Imaging Techniques
Summary
Rapid Prediction of Adulteration Content in Atractylodis rhizoma Based on Data and Image Features Fusions from Near-Infrared Spectroscopy and Hyperspectral Imaging Techniques is a scholarly article[1].
Key Facts
Rapid Prediction of Adulteration Content in Atractylodis rhizoma Based on Data and Image Features Fusions from Near-Infrared Spectroscopy and Hyperspectral Imaging Techniques's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Rapid Prediction of Adulteration Content in Atractylodis rhizoma Based on Data and Image Features Fusions from Near-Infrared Spectroscopy and Hyperspectral Imaging Techniques. Retrieved May 24, 2026, from https://4ort.xyz/entity/rapid-prediction-of-adulteration-content-in-atractylodis-rhizoma-based-on-data-and-image-features-fusions-from-near-infr
MLA“Rapid Prediction of Adulteration Content in Atractylodis rhizoma Based on Data and Image Features Fusions from Near-Infrared Spectroscopy and Hyperspectral Imaging Techniques.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/rapid-prediction-of-adulteration-content-in-atractylodis-rhizoma-based-on-data-and-image-features-fusions-from-near-infr.
BibTeX@misc{4ortxyz_rapid-prediction-of-adulteration-content-in-atractylodis-rhizoma-based-on-data-and-image-features-fusions-from-near-infr_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Rapid Prediction of Adulteration Content in Atractylodis rhizoma Based on Data and Image Features Fusions from Near-Infrared Spectroscopy and Hyperspectral Imaging Techniques}}, year = {2026}, url = {https://4ort.xyz/entity/rapid-prediction-of-adulteration-content-in-atractylodis-rhizoma-based-on-data-and-image-features-fusions-from-near-infr}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Rapid Prediction of Adulteration Content in Atractylodis rhizoma Based on Data and Image Features Fusions from Near-Infrared Spectroscopy and Hyperspectral Imaging Techniques — https://4ort.xyz/entity/rapid-prediction-of-adulteration-content-in-atractylodis-rhizoma-based-on-data-and-image-features-fusions-from-near-infr (retrieved 2026-05-24)