Rapid and Automated Method for Detecting and Quantifying Adulterations in High-Quality Honey Using Vis-NIRs in Combination with Machine Learning.
- DOI
- 10.3390/foods12132491
- Published
- 2023 Jun 26
- Container
- Foods (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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BibTeX
@article{allodium:10.3390/foods12132491,
title = {Rapid and Automated Method for Detecting and Quantifying Adulterations in High-Quality Honey Using Vis-NIRs in Combination with Machine Learning.},
author = {Calle JLP and Punta-Sánchez I and González-de-Peredo AV and Ruiz-Rodríguez A and Ferreiro-González M and Palma M},
year = {2023},
journal = {Foods (Basel, Switzerland)},
doi = {10.3390/foods12132491},
url = {https://doi.org/10.3390/foods12132491}
}RIS
TY - JOUR TI - Rapid and Automated Method for Detecting and Quantifying Adulterations in High-Quality Honey Using Vis-NIRs in Combination with Machine Learning. AU - Calle JLP AU - Punta-Sánchez I AU - González-de-Peredo AV AU - Ruiz-Rodríguez A AU - Ferreiro-González M AU - Palma M PY - 2023 JO - Foods (Basel, Switzerland) DO - 10.3390/foods12132491 UR - https://doi.org/10.3390/foods12132491 ER -
APA
JLP, C., I, P., AV, G., A, R., M, F., & M, P. (2023). Rapid and Automated Method for Detecting and Quantifying Adulterations in High-Quality Honey Using Vis-NIRs in Combination with Machine Learning.. Foods (Basel, Switzerland). https://doi.org/10.3390/foods12132491
Source records
- pubmed · retrieved 2026-09-26T10:38:38.142Z