A systematic study of conventional, sensor-induced, and machine learning-based methods for milk quality analysis and adulterant detection
- DOI
- 10.1007/s13197-026-06746-0
- Published
- 2026-06-02
- Container
- Journal of Food Science and Technology
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s13197-026-06746-0,
title = {A systematic study of conventional, sensor-induced, and machine learning-based methods for milk quality analysis and adulterant detection},
author = {Satya Prakash and Kirti Amresh Gautam and Krishna Kumar Gupta and Prateek Singh Raghav and Annu Kumari},
year = {2026},
journal = {Journal of Food Science and Technology},
doi = {10.1007/s13197-026-06746-0},
url = {https://doi.org/10.1007/s13197-026-06746-0}
}RIS
TY - JOUR TI - A systematic study of conventional, sensor-induced, and machine learning-based methods for milk quality analysis and adulterant detection AU - Satya Prakash AU - Kirti Amresh Gautam AU - Krishna Kumar Gupta AU - Prateek Singh Raghav AU - Annu Kumari PY - 2026 JO - Journal of Food Science and Technology DO - 10.1007/s13197-026-06746-0 UR - https://doi.org/10.1007/s13197-026-06746-0 ER -
APA
Prakash, S., Gautam, K. A., Gupta, K. K., Raghav, P. S., & Kumari, A. (2026). A systematic study of conventional, sensor-induced, and machine learning-based methods for milk quality analysis and adulterant detection. Journal of Food Science and Technology. https://doi.org/10.1007/s13197-026-06746-0
Source records
- crossref · retrieved 2026-09-26T00:33:45.177Z