Near-infrared spectroscopy and machine learning-based classification and calibration methods in detection and measurement of anionic surfactant in milk

Research article (Journal of Food Composition and Analysis, 2021) · cited 31× · AI/ML
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Near-infrared spectroscopy and machine learning-based classification and calibration methods in detection and measurement of anionic surfactant in milk

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Near-infrared spectroscopy and machine learning-based classification and calibration methods in detection and measurement of anionic surfactant in milk is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Near-infrared spectroscopy and machine learning-based classification and calibration methods in detection and measurement of anionic surfactant in milk. Retrieved May 24, 2026, from https://4ort.xyz/entity/near-infrared-spectroscopy-and-machine-learning-based-classification-and-calibration-methods-in-detection-and-measuremen
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BibTeX @misc{4ortxyz_near-infrared-spectroscopy-and-machine-learning-based-classification-and-calibration-methods-in-detection-and-measuremen_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Near-infrared spectroscopy and machine learning-based classification and calibration methods in detection and measurement of anionic surfactant in milk}}, year = {2026}, url = {https://4ort.xyz/entity/near-infrared-spectroscopy-and-machine-learning-based-classification-and-calibration-methods-in-detection-and-measuremen}, note = {Accessed: 2026-05-24}}
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