Hyperspectral Imaging Combined with Multi-Scale Feature Fusion and Improved Faster R-CNN for Automated Detection of Surface Defects on Chicken Carcasses.
- DOI
- 10.3390/foods15162775
- Published
- 2026 Aug 7
- Container
- Foods (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/foods15162775,
title = {Hyperspectral Imaging Combined with Multi-Scale Feature Fusion and Improved Faster R-CNN for Automated Detection of Surface Defects on Chicken Carcasses.},
author = {Wang H and He S and Ding K and Zhao Y and Wang W and Wang Y and Zhang X},
year = {2026},
journal = {Foods (Basel, Switzerland)},
doi = {10.3390/foods15162775},
url = {https://doi.org/10.3390/foods15162775}
}RIS
TY - JOUR TI - Hyperspectral Imaging Combined with Multi-Scale Feature Fusion and Improved Faster R-CNN for Automated Detection of Surface Defects on Chicken Carcasses. AU - Wang H AU - He S AU - Ding K AU - Zhao Y AU - Wang W AU - Wang Y AU - Zhang X PY - 2026 JO - Foods (Basel, Switzerland) DO - 10.3390/foods15162775 UR - https://doi.org/10.3390/foods15162775 ER -
APA
H, W., S, H., K, D., Y, Z., W, W., Y, W., & X, Z. (2026). Hyperspectral Imaging Combined with Multi-Scale Feature Fusion and Improved Faster R-CNN for Automated Detection of Surface Defects on Chicken Carcasses.. Foods (Basel, Switzerland). https://doi.org/10.3390/foods15162775
Source records
- pubmed · retrieved 2026-09-26T21:22:52.849Z