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.
We seek Poster submissions for IC-FOODS 2017.
This is an opportunity to present work informally. It can cover recent work that has been accepted or presented elsewhere with proposed future work.
Key dates
Submission deadline - October 25.
Accepted subscriptions will be notified on a rolling basis. Final versions of accepted posters are due on October 31.
Topics
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
ONTOLOGIES
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 Buttigieg, Max Plank Institute
Submission Link :
https://easychair.org/conferences/?conf=icfoods2017