Nondestructive evaluation of strawberry freshness and quantitative analysis of blue light irradiation effects using hyperspectral imaging and machine learning.

Zhang X, Liu W, Chen J, Fu T, Lan R, Zhang Y, Qian J, Zhou Y, Xu J, Wang D, Feng S

Open source

DOI
10.1039/d6ay01509c
Published
2026 Oct 2
Container
Analytical methods : advancing methods and applications
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1039/d6ay01509c,
  title = {Nondestructive evaluation of strawberry freshness and quantitative analysis of blue light irradiation effects using hyperspectral imaging and machine learning.},
  author = {Zhang X and Liu W and Chen J and Fu T and Lan R and Zhang Y and Qian J and Zhou Y and Xu J and Wang D and Feng S},
  year = {2026},
  journal = {Analytical methods : advancing methods and applications},
  doi = {10.1039/d6ay01509c},
  url = {https://doi.org/10.1039/d6ay01509c}
}

RIS

TY  - JOUR
TI  - Nondestructive evaluation of strawberry freshness and quantitative analysis of blue light irradiation effects using hyperspectral imaging and machine learning.
AU  - Zhang X
AU  - Liu W
AU  - Chen J
AU  - Fu T
AU  - Lan R
AU  - Zhang Y
AU  - Qian J
AU  - Zhou Y
AU  - Xu J
AU  - Wang D
AU  - Feng S
PY  - 2026
JO  - Analytical methods : advancing methods and applications
DO  - 10.1039/d6ay01509c
UR  - https://doi.org/10.1039/d6ay01509c
ER  - 

APA

X, Z., W, L., J, C., T, F., R, L., Y, Z., J, Q., Y, Z., J, X., D, W., & S, F. (2026). Nondestructive evaluation of strawberry freshness and quantitative analysis of blue light irradiation effects using hyperspectral imaging and machine learning.. Analytical methods : advancing methods and applications. https://doi.org/10.1039/d6ay01509c

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