Optimization of Near-Infrared Detection Model of Blueberry Sugar Content Based on Deep Belief Network and Hybrid Wavelength Selection Method

ZHU Jin-yan; ZHU Yu-jie; FENG Guo-hong; ZENG Ming-fei; LIU Si-qi

doi:10.3964/j.issn.1000-0593(2022)12-3775-08

Journals >Spectroscopy and Spectral Analysis >Volume 42 >Issue 12 >Page 3775 > Article

Spectroscopy and Spectral Analysis
Vol. 42, Issue 12, 3775 (2022)

Optimization of Near-Infrared Detection Model of Blueberry Sugar Content Based on Deep Belief Network and Hybrid Wavelength Selection Method

ZHU Jin-yan^*, ZHU Yu-jie, FENG Guo-hong, ZENG Ming-fei, and LIU Si-qi

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[in Chinese]

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DOI: 10.3964/j.issn.1000-0593(2022)12-3775-08 Cite this Article

ZHU Jin-yan, ZHU Yu-jie, FENG Guo-hong, ZENG Ming-fei, LIU Si-qi. Optimization of Near-Infrared Detection Model of Blueberry Sugar Content Based on Deep Belief Network and Hybrid Wavelength Selection Method[J]. Spectroscopy and Spectral Analysis, 2022, 42(12): 3775 Copy Citation Text

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References

[5] Katarzyna W, Julia S, Igor K, et al. Journal of the Science of Food and Agriculture, 2019, 99(13): 5953.

[6] Masithoh R E, Pahlawan M F R, Wati R K. IOP Conference Series: Earth and Environmental Science, 2021, 752(1): 012047.

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