SmartHerd Management: A Microservices Based Fog Computing Assisted IoT Platform towards Data Driven Smart Dairy Farming: A microservices-based fog computing–assisted IoT platform towards data-driven smart dairy farming

Mohit Taneja, Nikita Jalodia, John Byabazaire, Alan Davy, Cristian Olariu

Research output: Contribution to journalArticlepeer-review

33 Citations (Scopus)

Abstract

Internet of Things (IoT), fog computing, cloud computing, and data-driven techniques together offer a great opportunity for verticals such as dairy industry to increase productivity by getting actionable insights to improve farming practices, thereby increasing efficiency and yield. In this paper, we present SmartHerd, a fog computing–assisted end-to-end IoT platform for animal behavior analysis and health monitoring in a dairy farming scenario. The platform follows a microservices-oriented design to assist the distributed computing paradigm and addresses the major issue of constrained Internet connectivity in remote farm locations. We present the implementation of the designed software system in a 6-month mature real-world deployment, wherein the data from wearables on cows is sent to a fog-based platform for data classification and analysis, which includes decision-making capabilities and provides actionable insights to farmer towards the welfare of animals. With fog-based computational assistance in the SmartHerd setup, we see an 84% reduction in amount of data transferred to the cloud as compared with the conventional cloud-based approach.

Original languageEnglish
Pages (from-to)1055-1078
Number of pages24
JournalSoftware, Practice and Experience
Volume49
Issue number7
DOIs
Publication statusPublished - Jul 2019

Keywords

  • cloud computing
  • dairy farming
  • data analytics
  • data-driven
  • fog computing
  • Internet of Things (IoT)
  • microservices
  • smart farm

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