Machine learning

Agtech, agricultural IoT and the threat of cyberattacks: how should the risks be modelled?

• Increasing automation and the use of artificial intelligence has exposed the agri-food industry to the risk of cyberattacks. In view of the potential threat to food production, there is an urgent need for better cybersecurity in the sector.
• The Internet of Things is making it harder to implement prevention programmes. The diversity of connected devices and systems means that appropriate cyber security measures and risk modelling are essential.
• Mary Lancaster of the US Department of Energy’s Pacific Northwest National Laboratory talks about the Food and Agriculture Risk Modelling (FARM) tool, which aims to quantify the impact of cyberattacks on agricultural production and to develop the necessary counterstrategies.
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