IDC 2017

11th International Symposium on Intelligent Distributed Computing
11 – 13 October 2017, Belgrade, Serbia

Special Session 2: Internet of things and big data analytics as applied to food safety

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Scope and Topics

When we talk about health and environmental protection, food is always at the centre of all discussions. As public consciousness about food safety and quality is constantly increasing, food production and distribution processes require help from innovative technologies in order to satisfy consumers’ needs. Food quality and safety can be compromised at all stages of more and more complex farm-tofork path. Food analysis needs to come out of laboratories and handed to food producers and consumers. Regulations for food safety and quality check and protection exist and are followed, but their application on every piece of food and at every stage of its production/distribution is logistically impossible task. New automated quality check and safety management procedures need to be integrated with the food production, distribution and consumption processes. Internet of things provides means for sensing quality, communicating sensory and contextual data towards analysis points which make decisions that are used for safety management. Most importantly, the IoT services and applications include the end consumers into the food quality and safety management processes. In order to enable IoT based services and applications, large amount of contextual and sensory data need to be collected, stored and analyzed. We are not talking about lab analysis which provides results in a couple of hours or days, but on-site analysis that provide immediate feedback and recommendations to producers, distributors and consumers. Application of IoT in food analysis reaches into the Big Data domain and requires innovative data analysis mechanisms and models. This special session at the IDC 2017. puts focus on innovative approaches for analyzing and managing food quality and safety through application of IoT systems and tools. Advanced data analysis models, platforms and frameworks based on these IoT enablers are especially appreciated.

  • Internet of things frameworks and platforms for managing food safety and quality;
  • Data analysis models based on IoT enablers applied to food quality;
  • Machine learning models and approaches for food quality management and related decision making;
  • IoT services and applications empowering consumers to directly participate in the for quality management processes;
  • Innovative approaches for implementation of complex data analysis and machine learning models in distributed IoT environments;
  • Role of the fog computing in food quality analysis;
  • State of the art sensors and sensory networks applied at all stages of farm-to-fork processes;
  • Smart integration of multidisciplinary enablers into IoT systems for food quality management;
  • Multidisciplinary approaches for building knowledge systems focused on food quality management.
  • Organization