• DocumentCode
    1717822
  • Title

    A novel cloud computing based smart farming system for early detection of borer insects in tomatoes

  • Author

    Rupanagudi, Sudhir Rao ; Ranjani, B.S. ; Nagaraj, Prathik ; Bhat, Varsha G. ; Thippeswamy, G.

  • Author_Institution
    WorldServe Educ., Bangalore, India
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Every year farmers experience huge losses due to pest infestation in crops & this inturn impacts his livelihood. In this paper we discuss a novel approach to solve this problem by constantly monitoring crops using video processing, cloud computing and robotics. The paper concentrates in methodologies to detect pests in one of the most popular fruits in the world - the tomato. An insight into how the idea of the Internet of Things can also be conceptualized in this project has been elaborated.
  • Keywords
    Internet of Things; cloud computing; computerised monitoring; farming; video signal processing; Internet of Things; cloud computing based smart farming system; crop monitoring; farmer experience; pest infestation; tomato borer insect early detection; video processing; Agriculture; Algorithm design and analysis; Cameras; Cloud computing; Image color analysis; Insects; Robots; Internet of Things (IOT); borer insect; cloud computing; early pest detection; fruit detection; fruit plucking; fruit worm; growth stages; smart farming; tomato detection; video processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication, Information & Computing Technology (ICCICT), 2015 International Conference on
  • Conference_Location
    Mumbai
  • Print_ISBN
    978-1-4799-5521-3
  • Type

    conf

  • DOI
    10.1109/ICCICT.2015.7045722
  • Filename
    7045722