@inbook{ab6b9f076d314294a0b64e7c527426ee,
title = "Wireless sensor network based advisory system for Apple Scab prevention",
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. {\textcopyright} 2014 IEEE.",
keywords = "Apple Scab, Mannasim framework, Mills table, NS2, Precision agriculture, Wireless sensor network",
author = "Kriti Bhargava and Arti Kashyap and Gonsalves, {Timothy A.}",
year = "2014",
doi = "10.1109/NCC.2014.6811263",
language = "English",
series = "2014 20th National Conference on Communications, NCC 2014",
publisher = "IEEE Computer Society",
booktitle = "2014 20th National Conference on Communications, NCC 2014",
address = "United States",
note = "2014 Twentieth National Conference on Communications (NCC) ; Conference date: 28-02-2014 Through 02-03-2014",
}