Application of machine learning and deep learning to detect adulteration in food flour based on spectroscopy data: A systematic review
- DOI
- 10.1051/bioconf/202519201005
- Published
- 2025
- Container
- BIO Web of Conferences
- Publisher
- EDP Sciences
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1051/bioconf/202519201005,
title = {Application of machine learning and deep learning to detect adulteration in food flour based on spectroscopy data: A systematic review},
author = {Nadya Hafidzatun Nisa and Rudiati Evi Masithoh and Muhammad Fahri Reza Pahlawan and Andra Tersiana Wati},
year = {2025},
journal = {BIO Web of Conferences},
doi = {10.1051/bioconf/202519201005},
url = {https://doi.org/10.1051/bioconf/202519201005}
}RIS
TY - JOUR TI - Application of machine learning and deep learning to detect adulteration in food flour based on spectroscopy data: A systematic review AU - Nadya Hafidzatun Nisa AU - Rudiati Evi Masithoh AU - Muhammad Fahri Reza Pahlawan AU - Andra Tersiana Wati PY - 2025 JO - BIO Web of Conferences DO - 10.1051/bioconf/202519201005 UR - https://doi.org/10.1051/bioconf/202519201005 ER -
APA
Nisa, N. H., Masithoh, R. E., Pahlawan, M. F. R., & Wati, A. T. (2025). Application of machine learning and deep learning to detect adulteration in food flour based on spectroscopy data: A systematic review. BIO Web of Conferences. https://doi.org/10.1051/bioconf/202519201005
Source records
- crossref · retrieved 2026-09-24T23:53:16.763Z