Wireless sensor network based advisory system for Apple Scab prevention

Kriti Bhargava, Arti Kashyap, Timothy A. Gonsalves

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    8 Citations (Scopus)

    Abstract

    Apple Scab, caused by the fungus Venturia inaequalis, is the most serious and damaging disease in apples that causes financial losses up to 70% in epidemic years. With the espousal of precision agriculture to ensure better farm management and sustainable development, in this paper, we propose a wireless sensor network (WSN) design, with a view to build a decision support system for the prediction of Apple Scab in the Kullu, Himachal Pradesh, orchards based on the Mills tables. We discuss the plausible architectures and the novelties of deploying a WSN design in hilly region, based on real time variations in temperature along distance and altitude. We also model an early warning system by simulating a WSN using NS-2. Our simulation results help to identify infection prone periods using the logged temperature and leaf wetness measures for the timely prevention of Apple Scab. The implementation plan of the proposed model is also discussed. © 2014 IEEE.
    Original languageEnglish
    Title of host publication2014 20th National Conference on Communications, NCC 2014
    PublisherIEEE Computer Society
    Number of pages6
    ISBN (Electronic)9781479923618
    DOIs
    Publication statusPublished - 2014
    Event2014 Twentieth National Conference on Communications (NCC) - Kanpur, India
    Duration: 28 Feb 20142 Mar 2014

    Publication series

    Name2014 20th National Conference on Communications, NCC 2014

    Conference

    Conference2014 Twentieth National Conference on Communications (NCC)
    Country/TerritoryIndia
    CityKanpur
    Period28/02/142/03/14

    Keywords

    • Apple Scab
    • Mannasim framework
    • Mills table
    • NS2
    • Precision agriculture
    • Wireless sensor network

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