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Quantitative detection of metanil yellow adulteration in chickpea flour using line-scan near-infrared hyperspectral imaging with partial least square regression and one-dimensional convolutional neural network
Research article (Journal of Food Composition and Analysis, 2023) · cited 45× · AI/ML
Quantitative detection of metanil yellow adulteration in chickpea flour using line-scan near-infrared hyperspectral imaging with partial least square regression and one-dimensional convolutional neural network
Summary
Quantitative detection of metanil yellow adulteration in chickpea flour using line-scan near-infrared hyperspectral imaging with partial least square regression and one-dimensional convolutional neural network is a scholarly article[1].
Key Facts
Quantitative detection of metanil yellow adulteration in chickpea flour using line-scan near-infrared hyperspectral imaging with partial least square regression and one-dimensional convolutional neural network's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Quantitative detection of metanil yellow adulteration in chickpea flour using line-scan near-infrared hyperspectral imaging with partial least square regression and one-dimensional convolutional neural network. Retrieved May 24, 2026, from https://4ort.xyz/entity/quantitative-detection-of-metanil-yellow-adulteration-in-chickpea-flour-using-line-scan-near-infrared-hyperspectral-imag
MLA“Quantitative detection of metanil yellow adulteration in chickpea flour using line-scan near-infrared hyperspectral imaging with partial least square regression and one-dimensional convolutional neural network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/quantitative-detection-of-metanil-yellow-adulteration-in-chickpea-flour-using-line-scan-near-infrared-hyperspectral-imag.
BibTeX@misc{4ortxyz_quantitative-detection-of-metanil-yellow-adulteration-in-chickpea-flour-using-line-scan-near-infrared-hyperspectral-imag_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Quantitative detection of metanil yellow adulteration in chickpea flour using line-scan near-infrared hyperspectral imaging with partial least square regression and one-dimensional convolutional neural network}}, year = {2026}, url = {https://4ort.xyz/entity/quantitative-detection-of-metanil-yellow-adulteration-in-chickpea-flour-using-line-scan-near-infrared-hyperspectral-imag}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Quantitative detection of metanil yellow adulteration in chickpea flour using line-scan near-infrared hyperspectral imaging with partial least square regression and one-dimensional convolutional neural network — https://4ort.xyz/entity/quantitative-detection-of-metanil-yellow-adulteration-in-chickpea-flour-using-line-scan-near-infrared-hyperspectral-imag (retrieved 2026-05-24)