Utilizing Digital Technologies to Ensure Food Safety | ||||
| International Journal of Artificial Intelligence and Emerging Technology | ||||
| Volume 6, Issue 2, December 2023, Page 42-65 PDF (297.28 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/ijaiet.2024.275187.1007 | ||||
 View on SCiNiTO | ||||
| Author | ||||
Ramadan Ali Eltabey 
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| Assistant lecturer College of Computer Technology - Tripoli | ||||
| Abstract | ||||
| Utilization of digital technology to ensure food safety is a critical aspect of public health. This exploration delves into the application of diverse digital technologies within the context of food safety, emphasizing their roles in monitoring, traceability, and quality control throughout the food supply chain. Digital technologies, including Internet of Things (IoT), blockchain, and data analytics, play a central role in real-time monitoring of food production, transportation, and storage. IoT devices integrated into production facilities and transportation means continuously provide data streams, enabling early identification of potential hazards. Blockchain technology ensures transparency and securely documents the journey of food products from farm to table, facilitating rapid recalls and reducing the risk of contamination. Data analytics, powered by artificial intelligence, enables the analysis of extensive datasets for patterns and anomalies. Predictive modeling enhances early detection of potential safety issues, allowing for timely intervention. Additionally, digital sensors and monitoring systems contribute to maintaining optimal storage conditions, reducing the likelihood of spoilage and contamination. This discussion includes case studies and examples showcasing successful implementations of digital technologies at various stages of the food supply chain. It underscores the positive impact on food safety, cost-effectiveness, and overall efficiency compared to traditional methods. Encouragement is given for further research and adoption of these technologies to ensure the continual enhancement of global food safety standards. | ||||
| Keywords | ||||
| Artificial Intelligence; Predictive Modeling; Quality Control | ||||
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