Machine Learning and its Application in Food Safety
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9524-0_11
Reference27 articles.
1. Tsakanikas P, Karnavas A, Panagou EZ, Nychas GJ (2020) A machine learning workflow for raw food spectroscopic classification in a future industry. Sci Rep 10(1):1–11. https://doi.org/10.1038/s41598-020-68156-2
2. Al G, Syafrudin M, Farooq U, Rifqi M, Alex Syaekhoni M, Latif N, Lee J, Rhee J (2020) Improving the efficiency of RFID-based traceability system for perishable food by utilizing IoT sensors and machine learning model 110(Oct 2019). https://doi.org/10.1016/j.foodcont.2019.107016
3. Deng X, Cao S, Horn AL (2021) Emerging applications of machine learning in food safety. Annu Rev Food Sci Technol 12:513–38. https://doi.org/10.1146/annurev-food-071720-024112
4. Vanegas DC, Gomes CL, Cavallaro ND, Giraldo-Escobar D, Mclamore ES (2017) Emerging biorecognition and transduction schemes for rapid detection of pathogenic bacteria in food 16:1188–1205. https://doi.org/10.1111/1541-4337.12294
5. Pitesky M, Gendreau J, Bond T, Carrasco-Medanic R (2020) Data challenges and practical aspects of machine learning-based statistical methods for the analyses of poultry data to improve food safety and production efficiency (049):1–11. https://doi.org/10.1079/PAVSNNR202015049
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