A Review of the Application of Artificial Intelligence in Identifying Pathogenic Bacteria in the Food Industry
Subject Areas : Biotechnological Journal of Environmental Microbiology
Arman Moradi
1
*
,
Amirhossein Khorramian
2
,
Golnoosh Moradabasi
3
,
Mohammad Faezi Ghasemi
4
1 - گروه میکروبیولوژی،واحد لاهیجان،دانشگاه آزاد اسلامی،لاهیجان،ایران
2 - گروه میکروبیولوژی،واحد لاهیجان،دانشگاه آزاد اسلامی،لاهیجان،ایران
3 - گروه سلولی و مولکولی، واحد لاهیجان، دانشگاه آزاد اسلامی، لاهیجان، ایران.
4 - گروه میکروبیولوژی،واحد لاهیجان،دانشگاه آزاد اسلامی،لاهیجان،ایران
Keywords: Artificial Intelligence , Pathogenic Bacteria , Food Industry, deep learning , YOLOv4,
Abstract :
Foodborne illnesses caused by harmful bacteria are a major global concern that poses a threat to public health. Traditional detection techniques are frequently time-consuming, labor-intensive, and perhaps inaccurate. The food industry can benefit from the use of artificial intelligence (AI) for the quick, precise, and automated detection of these microorganisms. Foodborne illnesses caused by harmful bacteria are a major public health concern worldwide. Traditional methods for identifying these bacteria are often time-consuming, costly, and may be inaccurate. The food industry can leverage artificial intelligence (AI) to quickly, accurately, and automatically identify these microorganisms. Machine learning (ML) methods such as support vector machines, random forests, and nearest neighbors are used in this context. AI models are capable of identifying pathogens like Salmonella, Listeria, and E. coli with accuracy rates of over 90%. AI facilitates automation and non-destructive testing, which minimizes human labor and errors. Integrating AI with sensor networks makes it possible to monitor food production in real time.
The difficulties include securing high-quality datasets, enhancing model transparency, establishing uniform procedures, and securing regulatory approval. Ongoing research aims to solve these problems by developing better data sharing, explainable AI, and standards.
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