Workshop "Réseaux de capteurs pour l'agronomie"

Organisé par l'INRA et Inria Rennes, ce séminaire consacré aux réseaux de capteurs pour l'agronomie se focalisera sur l'acquisition, la collecte et l'analyse de données pour une agriculture raisonnée.

09h30-10h30    Exposé de  Thomas Watteyne (Inria, équipe EVA) : "Exciting Developments in Industrial IoT, and its Potential Applications to Smart Agriculture"
10h30-12h30    Présentations INRA et Inria :

  • Johann Bourcier (UR1, équipe DIVERSE) : "Software defined Farming: Using models to support farmers decision making"
  • Christophe Langrume / Melen Leclerc  (INRA, IGEPP) : "Réseaux de capteurs intelligents pour le microclimat et l’épidémio-surveillance"
  • Paul Couderc (Inria, équipe EASE) : "Tangible data systems: an alternative architecture for the IoT”
  • Didier Azam ; Laurent Beaulaton  (INRA, U3E) : "Poisson-ID : la RFID pour l’étude des populations animales dans le milieu naturel"
  • Luis Galarraga (Inria, équipe LACODAM) : "Making sense out of structured knowledge"
  • Anne-Isabelle Graux (INRA, équipe LACODAM) : "Modéliser la croissance de l’herbe à partir de l’information acquise par des capteurs au champ "
  • Chantal Gascuel / Ophélie Fovet (INRA, SAS) : "Réseaux d’observations in situ : capteurs hydro-chimiques et atmosphériques"
  • Olivier Sentieys (UR1, équipe CAIRN) : "Towards self-powered wireless sensor networks / Vers des réseaux de capteurs autonomes en énergie "
  • Pascal Bertin (INRA, UE la Motte) : "L'Unité Expérimentale de la Motte, un cas d'étude à connecter?"

Workshop ouvert à tous
Afin de faciliter l'accès au séminaire, les personnes extérieures au centre Inria doivent s'inscrire en précisant leurs nom et affiliation à (avant lundi 18 décembre) et se présenter à l'accueil avec une pièce d'identité.
Plan d'accès

Abstract et bio de Thomas Watteyne

Abstract
Internet of Things (IoT) technology, and in particular its industrial flavor, is progressing at an incredible pace. It is now possible to instrument a factory floor with hundreds of low power mesh devices which offer over 99.999% end-to-end reliability, over a decade of battery lifetime, certified security and network-wide synchronization to within 15uA. These networks are going through tremendous developments, including on determinism (guaranteeing latency), size (the "smart dust" project), agility (using multiple radios at the same time) and ranging/localization. This technology is at the heart of the core networking research being done at the Inria-EVA team, and describing what we are doing is the first objective of my presentation.
My second objective is to show you that these network, although they are active research topics, are readily available as building blocks for end-to-end systems and applications. In the Inria-EVA team, we have deployed over 1000 sensors on 3 continents, in application including smart city, environmental sensing, and Smart Agriculture. In the latter project (http://www.savethepeaches.com/), we have deployed 120 sensors in a peach orchard in Mendoza, Argentina, to be able to predict frost events. The network has been running, and the team is now working on the machine learning to turn the raw soil/air temperature/humidity sensor data into a real-time frost alert system.
 

Biography
Thomas Watteyne (http://www.thomaswatteyne.com/, @thomaswatteyne) is an insatiable enthusiast of low-power wireless mesh technologies. He is a researcher at Inria in Paris, in the new EVA research team, where he designs, models and builds networking solutions based on a variety of Internet-of-Things (IoT) standards. He is Senior Networking Design Engineer at Analog Devices, in the Dust Networks product group, the undisputed leader in supplying low power wireless mesh networks for demanding industrial process automation applications. Since 2013, he co-chairs the IETF 6TiSCH working group, which standardizes how to use IEEE802.15.4e TSCH in IPv6-enabled mesh networks, and recently joined the IETF Internet-of-Things Directorate. Prior to that, Thomas was a postdoctoral research lead in Prof. Kristofer Pister’s team at the University of California, Berkeley. He founded and co-leads Berkeley’s OpenWSN project, an open-source initiative to promote the use of fully standards-based protocol stacks for the IoT. Between 2005 and 2008, he was a research engineer at France Telecom, Orange Labs. He holds a PhD in Computer Science (2008), an MSc in Networking (2005) and an MEng in Telecommunications (2005) from INSA Lyon, France. He is Senior member of IEEE. He is fluent in 4 languages.