Machine learning-based optimal temperature management model for safety and quality control of perishable food supply chain

Machine learning-based optimal temperature management model for safety and quality control of perishable food supply chain

Abstract The management of a food supply chain is difficult and complex because of the product's short shelf-life, time-sensitivity, and perishable nature which must be carefully considered to minimize food waste. Temperature-controlled perishable food supply chain provides the highly crucial f...

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Bibliographic Details
Main Authors: Joy Eze, Yanqing Duan, Elias Eze, Ramakrishnan Ramanathan, Tahmina Ajmal
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Subjects:
Food technology
Cold supply chain
Food waste
Modelling
Perishable foods
Machine learning
Online Access:https://doi.org/10.1038/s41598-024-70638-6
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