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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/8601

Title: Application of plant disease models in decision making
Authors: Hasbant, Singh
Siti Jasmida, Jamil
Nooraihan, Abdullah
Dachyar, Arbain
Keywords: Plant disease model;Mathematical model;Artificial Neural Network;MUCEET;Malaysian Technical Universities Conference on Engineering and Technology
Issue Date: 20-Jun-2009
Publisher: Universiti Malaysia Pahang (UMP)
Citation: p.1-6
Series/Report no.: Proceedings of the Malaysian Technical Universities Conference on Engineering and Technology (MUCEET) 2009
Abstract: Plant disease models typically are developed from field studies. The goal is to predict the risk of disease based on monitoring key environmental, host, and pathogen variables. Based on management options and goals, action thresholds can be incorporated into the model to provide advice for suitable control treatments. Models should be evaluated in the field, and actual disease compared to predicted disease. In this paper we focus on practical plant disease management issues and the use of mathematical techniques in designing the corresponding models. We describe relevant examples for each approach pointing out how they deal with issues such as adapting a model to different geographical area, or validating and maintaining the model on a long period.
Description: MUCEET 2009 is organized by Malaysian Technical Universities Network (MTUN) comprising of Universiti Malaysia Perlis (UniMAP), Universiti Tun Hussein Onn (UTHM), Universiti Teknikal Melaka (UTeM) and Universiti Malaysia Pahang (UMP), 20th - 22nd June 2009 at M. S. Garden Hotel, Kuantan, Pahang.
URI: http://hdl.handle.net/123456789/8601
Appears in Collections:Conference Papers

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