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This paper discusses the application of cloud-based machine learning (ML) to predict food spoilage and enhance safety in supply chains, addressing significant issues related to food waste and safety. It highlights the integration of IoT sensors for real-time data monitoring, which improves spoilage prediction accuracy and reduces waste while complying with food safety regulations. The study also identifies challenges such as data security and sensor calibration that need to be addressed for effective implem

Author

Manazay Gondal

Language

EN