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2020-11-02 - Article/Dans un journal avec peer-review - Français - 6 page(s)

Debauche Olivier , Mahmoudi Said , Mahmoudi Sidi , Manneback Pierre , "A new Collaborative Platform for Research in Smart Farming" in Procedia Computer Science, 177, 450-455

  • Edition : Elsevier, Amsterdam (Netherlands)
  • Codes CREF : Sciences agronomiques (DI3600), Informatique générale (DI1162)
  • Unités de recherche UMONS : Informatique (F114)
  • Instituts UMONS : Institut de Recherche en Technologies de l’Information et Sciences de l’Informatique (InforTech), Institut NUMEDIART pour les Technologies des Arts Numériques (Numédiart)
Texte intégral :

Abstract(s) :

(Anglais) The sharing of experimental dataset and benchmark between researchers is particularly import for the cross validation of models and algorithms that have been developed. In practice the sharing of data is difficult because certain legislations must be respected such as protecting privacy, copyrights, information confidentiality... etc. In this paper, we propose a scientific collaborative platform to share, exchange, and transfer data, applications, and models between researchers. This is only possible if we implement a high-level of encryption and security. The choice of encryption algorithms is crucial to ensure a long-term high level of protection against theft, willful alteration, and falsification. Our platform has been experimented within a community of researchers interested in cow behavior analysis based on Inertial Movement Unit and GPS data acquired by iPhone at high frequency (100 Hz).

Identifiants :
  • DOI : 10.1016/j.procs.2020.10.061

Mots-clés :
  • (Anglais) Behavior Analysis
  • (Anglais) Sharing Platform
  • (Anglais) Animal Behavior