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.
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 Consumption and Habits
Precision Nutrition and Personalized Foods
Individual Health Phenotype and Measurement Methods
Nutrigenomics and Metabolic Phenotypes
Physical Activity Phenotypes
Microbiome and Microbial Informatics
Bacteria in the human body
Food Loss and Waste
Effluent bioactivity discovery
Sensors and Robotics
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
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.