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 Registration fee is waived for students with accepted poster submissions. We are seeking solutions and welcome your Poster submissions in these or closely related fields.
- Are you a scientist detailing the chemical/physical/biological and organoleptic qualities of food?
- Are you studying issues of agriculture, sustainability, health and waste?
- Are you a computer scientist working in machine learning or artificial intelligence applications for the Food domain?
The Poster can cover recent work that has been accepted or presented elsewhere with proposed future work.
We have cash awards of USD 500 for the best posters in these 3 areas:
Environment & Agriculture
Food & Health
Submission deadline - November 4th Midnight PST.
Accepted subscriptions will be notified on a rolling basis.
Topics of interest include the following data and/or informatics solutions to building the IoF.
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 Buttigieg, Max Plank Institute
Submission Link :