ISSN : 2583-2646

AI Applications in Food Safety and Quality Control

ESP Journal of Engineering & Technology Advancements
© 2022 by ESP JETA
Volume 2  Issue 3
Year of Publication : 2022
Authors : Naga Ramesh Palakurti
: 10.56472/25832646/ESP-V2I3P111

Citation:

Naga Ramesh Palakurti, 2022. "AI Applications in Food Safety and Quality Control" ESP Journal of Engineering & Technology Advancements  2(3): 48-61.

Abstract:

Today’s food industry across the world is facing never-ending difficulties in meeting customers’ expectations of safe and quality food. Such of them include issues to do with contamination, adulteration, and ensuring quality standards of the products when manufactured in large quantities and distributed to different areas. This has called for new solutions, which have come in the form of Artificial Intelligence (AI), which offers solutions to challenges in food safety and quality control in detection, monitoring and management. The present deployment of AI in this field will also be discussed in this paper by virtue of machine learning algorithms, computer vision, industrial robots, and the IoT. With the help of AI, the safety and quality of food products can be improved as well as the food industry can obtain more accurate and real-time data for analysis, maintenance, and risk assessment. The application of AI systems in food safety and quality assurance provides not only reliability and decreased chances of human mistakes but efficiency as well. This paper aims to systematically summarize the current research achievements, methods, and application practices of AI in food safety and quality control. In effect, this paper presents a qualitative case analysis and research evidence that demonstrate the opportunities and risks arising from the implementation of AI technologies in the food sector. The analysis goes further considering the future trends and possible advancements oriented to creating a clear and prospective route for the researchers and specialists in the spheres of AI application for food safety and quality control.

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Keywords:

Artificial Intelligence, Food Safety, Quality Control, Machine Learning, Computer Vision, IoT, Predictive Maintenance, Contamination Detection.