• DocumentCode
    3525445
  • Title

    Building an IoT Framework for Connected Dairy

  • Author

    Ilapakurti, Anitha ; Vuppalapati, Chandrasekar

  • Author_Institution
    IoT & Data Analytics Groupanalytics;, Hanumayamma Innovations & Technol. Inc., Fremont, CA, USA
  • fYear
    2015
  • fDate
    March 30 2015-April 2 2015
  • Firstpage
    275
  • Lastpage
    285
  • Abstract
    Heat stress (HS) causes cows to produce less milk with the same nutritional input, which effectively increases farmers\´ production costs. The economic toll due to higher-temperature, heat stress is a $1 billion annual problems. Not only in the United States, but also around the globe heat stress causes an adverse impact on dairy productivity. The opportunities, however, for the dairy industry is to electronically monitor cattle temperature and implement appropriate measures so that the impact of HS can be minimized. The U.S. Department of Agriculture estimates nearly $2.4 billion a year in losses from animal illnesses that lead to death can be prevented by electronically checking on cattle\´s\´ vital signs. This research paper recommends the most innovative electronic monitor framework, the \´Smart Connected Objects", aka, \´the Internet of Things (IoT)\´, that enables dairies to minimize the economic impact of HS and, at the same, capture the higher Return on Assets (ROA) & Return on Investment (ROI) by improving operational efficiencies. Happy Cow, more importantly, means happier, more profitable, dairy industry and richer and creamer dairy products. The proposed framework supports both offline and online dairy IoT. This paper presents a prototyping solution design as well as its application and certain experimental results.
  • Keywords
    Internet of Things; dairy products; dairying; investment; Happy Cow; Internet of Things; IoT framework; ROA; ROI; U.S. Department of Agriculture; animal illness; cattle temperature; connected dairy; dairy industry; dairy productivity; economic toll; electronic monitor framework; farmer production cost; heat stress; higher-temperature; nutritional input; offline dairy IoT; online dairy IoT; prototyping solution design; return on assets; return on investment; Bluetooth; Cows; Decision trees; Heating; Stress; Temperature measurement; Temperature sensors; Android; BLE; Bluetooth Low Energy; CEP; Complex Event Processing; Dairy; Decision Tree; Heat Stress; Internet Of Things; IoT; IoT reference architecture; Machine Learning; Memory Data Cube; Regression Analysis; Sensor Tag; iOS; streaming analytics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Big Data Computing Service and Applications (BigDataService), 2015 IEEE First International Conference on
  • Conference_Location
    Redwood City, CA
  • Type

    conf

  • DOI
    10.1109/BigDataService.2015.39
  • Filename
    7184891