Utilizing Digital Technologies to Ensure Food Safety | ||||
| International Journal of Modern Agriculture and Environment | ||||
| Volume 3, Issue 2, December 2023, Page 17-29 PDF (320.03 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/ijmae.2024.297897.1033 | ||||
 View on SCiNiTO | ||||
| Author | ||||
Aisha Abdel Qader 
| ||||
| PhD researcher, Tlemcen University , Algeria | ||||
| Abstract | ||||
| The use of digital technology in ensuring food safety is vital for public health. This discussion examines how various digital technologies are applied to food safety, focusing on their roles in monitoring, traceability, and quality control across the food supply chain. Technologies such as the Internet of Things (IoT), blockchain, and data analytics are central to real-time monitoring of food production, transportation, and storage. IoT devices in production facilities and transportation continuously stream data, enabling early detection of potential hazards. Blockchain technology provides transparency and securely tracks the journey of food products from farm to table, facilitating quick recalls and minimizing contamination risks. Data analytics, enhanced by artificial intelligence, analyzes large datasets for patterns and anomalies, and predictive modeling helps in early detection of safety issues for timely intervention. Furthermore, digital sensors and monitoring systems help maintain optimal storage conditions, reducing the chances of spoilage and contamination. This exploration includes case studies and examples of successful digital technology implementations at different stages of the food supply chain, highlighting their positive impact on food safety, cost-effectiveness, and overall efficiency compared to traditional methods. It also encourages further research and adoption of these technologies to continually improve global food safety standards. | ||||
| Keywords | ||||
| Food Safety; Digital Technologies; Internet of Things; Block chain; Data Analytics; Traceability; Quality Control; Predictive Modeling; Artificial Intelligence | ||||
|
Statistics Article View: 35 PDF Download: 27 |
||||
