Wireless sensor network based advisory system for Apple Scab prevention

Kriti Bhargava, Arti Kashyap, Timothy A. Gonsalves

Research output: Chapter in Book/Report/Conference proceedingChapter

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)
CountryIndia
CityKanpur
Period28/02/142/03/14

Keywords

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

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