Visible/near-infrared Spectroscopy and Hyperspectral Imaging Facilitate the Rapid Determination of Soluble Solids Content in Fruits
Author:
Funder
the Natural Science Foundation of Zhejiang Province
the Key Laboratory of Smart Management & Application of Modern Agricultural Resources of Zhejiang Province
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12393-024-09374-6.pdf
Reference320 articles.
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2. Gao Q, Wang ML, Guo YY, Zhao XQ, He DJ (2019) Comparative analysis of non-destructive prediction model of soluble solids content for malus micromalus makino based on near-infrared spectroscopy. IEEE Access 7:128064–128075. https://doi.org/10.1109/Access.2019.2939579
3. An D, Zhang L, Liu Z, Liu J, Wei Y (2022) Advances in infrared spectroscopy and hyperspectral imaging combined with artificial intelligence for the detection of cereals quality. Crit Rev Food Sci Nutr. https://doi.org/10.1080/10408398.2022.2066062
4. Pang T, Rao L, Chen X, Cheng J (2021) Impruved prediction of soluble solid content of apple using a combination of spectral and textural features of hyperspectral images. J Appl Spectrosc 87(6):1196–1205. https://doi.org/10.1007/s10812-021-01129-z
5. Chandrasekaran I, Panigrahi SS, Ravikanth L, Singh CB (2019) Potential of near-infrared (NIR) spectroscopy and hyperspectral imaging for quality and safety assessment of fruits: an overview. Food Anal Methods 12(11):2438–2458. https://doi.org/10.1007/s12161-019-01609-1
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