Towards an AI-powered IoT approach for automated control and monitoring of Mycotoxins infections in cereals

Mycotoxins are poisonous substances mainly produced by fungi that attack field crops and contaminate agricultural commodities during postharvest under favourable conditions. They negatively affect the agriculture sector, cause serious health problems and affect the economy. To appropriately respond to these threats, advanced techniques need to be employed. This study aimed at exploring the literature and building a baseline framework that integrates both AI (Artifical Intelligence) and IoT (Internet of Things) for effective mycotoxin control and monitoring. A systematic review on Mycotoxins, AI and IoT was conducted using various articles from reputed publishers. The study found out that in addition to the main factors that cause mycotoxins, namely temperature and moisture, there is also oxidation. The study showed various favourable conditions and proposed a baseline framework for an efficient automated mycotoxins’ handling system. Keywords: Artificial Intelligence, IoT in agriculture, Mycotoxins, precision agriculture