Quantitative and qualitative approach for accessing and predicting food safety using various web-based tools

Abid, Hafiz Muhammad Rizwan; Khan, Nimrah; Hussain, Athar; Anis, Zainab Bintay; Nadeem, Muhammad; Khalid, Nauman

doi:10.1016/j.foodcont.2024.110471

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Future Perspectives and Opportunities1

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2024

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Cited by 5 publications

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“…IoT-enabled biosensors deployed throughout the food supply chain enable real-time monitoring and analysis of crucial parameters such as temperature, humidity, pH, and microbial contamination at various stages of production, storage, and transportation. 77 Through wireless connectivity and cloud-based platforms, seamless data transmission, remote monitoring, and predictive analytics are facilitated, enabling proactive interventions and risk mitigation strategies. Emerging technologies like blockchain and AI enhance biosensor data integrity and decision-making processes by providing secure, transparent, and tamper-proof data management systems.…”

Section: Future Perspectives and Opportunitiesmentioning

confidence: 99%