Machine Learning Applied to the Detection of Mycotoxin in Food: A Review

arXiv:2404.15387v1 Announce Type: cross
Abstract: Mycotoxins, toxic secondary metabolites produced by certain fungi, pose significant threats to global food safety and public health. These compounds can contaminate a variety of crops, leading to economic losses and health risks to both humans and animals. Traditional lab analysis methods for mycotoxin detection can be time-consuming and may not always be suitable for large-scale screenings. However, in recent years, machine learning (ML) methods have gained popularity for use in the detection of mycotoxins …

abstract analysis animals arxiv crops cs.lg detection economic food global health humans lab losses machine machine learning public public health q-bio.qm review risks safety threats type