Characteristic information analysis of Raman spectrum of cucumber chlorophyll content and hardness and detection model construction

Author:

Yu Huichun,Daining Ding,Huang Yiwen,Yuan Yunxia,Song Jlngkai,Yin YongORCID

Funder

he Key Research Project of Higher Education Institution of Henan Province

Publisher

Springer Science and Business Media LLC

Reference29 articles.

1. H.X. Song, Y.L. Li, X.Y. Xu et al., Analysis of genes related to chlorophyll metabolism under elevated CO2 in cucumber (Cucumis sativus L.) [J]. Sci. Hort. 261, 108988 (2019)

2. B. Gayatri, A. Laxmi, Pectin degrading enzymes and their inhibitors in brined amla (Phyllanthus emblica) and lemon (Citrus limon (L.) fruits during storage [J]. J. Food Meas. Charact. 14(1), 95–105 (2019)

3. D.N. Ding, H.C. Yu, Y. Yin et al., Determination of Chlorophyll and Hardness in Cucumbers by Raman Spectroscopy with Successive projections Algorithm (SPA) – Extreme Learning Machine (ELM). Anal. Lett. 56(8), 1216–1228 (2023)

4. S.Y. Lu, L.L. Zhang, J.R. Pan et al., Study on the indetification of the Geographicao Origin of cherries using Raman Spectroscopy and LSTM[J]. Spectrosc. Spectr. Anlysis. 41(04), 1177–1181 (2021)

5. Y.X. Wang, F. Tan, Y.M. Xin et al., Identification of Rice from similar areas with different pretreatment methods of Raman Spectrum.[J]. Spectrosc. Spectr. Anlysis. 41(02), 565–571 (2021)

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