Botanical origin identification and adulteration quantification of honey based on Raman spectroscopy combined with convolutional neural network

Research article (Vibrational Spectroscopy, 2022) · cited 47× · AI/ML
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Botanical origin identification and adulteration quantification of honey based on Raman spectroscopy combined with convolutional neural network

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Botanical origin identification and adulteration quantification of honey based on Raman spectroscopy combined with convolutional neural network is a scholarly article[1].

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  • Botanical origin identification and adulteration quantification of honey based on Raman spectroscopy combined with convolutional neural network's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Botanical origin identification and adulteration quantification of honey based on Raman spectroscopy combined with convolutional neural network. Retrieved May 24, 2026, from https://4ort.xyz/entity/botanical-origin-identification-and-adulteration-quantification-of-honey-based-on-raman-spectroscopy-combined-with-convo
MLA “Botanical origin identification and adulteration quantification of honey based on Raman spectroscopy combined with convolutional neural network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/botanical-origin-identification-and-adulteration-quantification-of-honey-based-on-raman-spectroscopy-combined-with-convo.
BibTeX @misc{4ortxyz_botanical-origin-identification-and-adulteration-quantification-of-honey-based-on-raman-spectroscopy-combined-with-convo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Botanical origin identification and adulteration quantification of honey based on Raman spectroscopy combined with convolutional neural network}}, year = {2026}, url = {https://4ort.xyz/entity/botanical-origin-identification-and-adulteration-quantification-of-honey-based-on-raman-spectroscopy-combined-with-convo}, note = {Accessed: 2026-05-24}}
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