The burgeoning Internet of Food is inevitably growing from the digitisation of data, information, and deep knowledge from across the entire life cycle of Food including domains like Ag, Health, Food and Food-System Informatics such as supply chain and manufacturing systems. Advancement of this Internet of Food requires agreed-upon standards for interoperable machine readable representations of information in the form of identifiable sensors and data collection technologies; structured vocabularies and ontologies for annotating emerging data streams; as well as data storage and transmission protocols. The purpose is to foster collaboration and growth across disciplines, technologies, and applications for scientific interrogation, sharing, and commerce across actors and stakeholders in food life cycles and value chains.

The following types of submissions for IC-FOODS 2017 are sought.
Posters - An opportunity to present work informally.
Abstract - 2- 4 pages and it can cover recent work that has been accepted or presented elsewhere.
Authors of accepted paper contributions to IC-FOODS 2017 will be invited to submit to a journal special issue.

Key dates
Submission deadline - October 20.
Accepted subscriptions will be notified on a rolling basis. Final versions of accepted papers are due on October 25.


Topics of interest include the following Informatics solutions to building the IoF, but is not limited to data and informatics methods and applications in the following areas:

  • Animal Production: Seafood, Dairy, Meat, Poultry

  • Crop: Row Crops, Specialty Crops

  • Food Safety

  • Food Processing

  • Supply Chain

  • Food Consumption and Habits

    • Consumption behaviour

    • Precision Nutrition and Personalized Foods

  • Individual Health Phenotype and Measurement Methods

    • Nutrigenomics and Metabolic Phenotypes

    • Physical Activity Phenotypes

  • Microbiome and Microbial Informatics

    • Fermentation

    • Decomposition

    • Energy Production

    • Bacteria in the human body

  • Food Loss and Waste

    • Loss prevention

    • Effluent bioactivity discovery

    • Reuse

    • Energy Production

  • Sensors and Robotics

    • Farming

    • Food Processing

    • Supply Chain

  • Food Laws and Regulations

  • Data analysis techniques and proven relationships in the above listed data domains, with or without an ontological reference   


    • Rule based systems, Logic based system

    • AI, ML

    • Stochastic/probabilistic model


Reviewing Committee

Chris Mungall, Lawrence Berkely Lab
Nick Holden, UC Dublin
Aifric O Sullivan, UC Dublin
Matthew Lange, UC Davis
Danielle Barille, UC Davis
Pier Luigi Battigie, Max Plank Institute

Submission details coming soon.