NDLI: A Web-Based Automatic Warning System for Citrus Bacteria Canker Disease Using AHP Methodology

Content Provider	IEEE Xplore Digital Library
Author	Daoying Xiong Jianbang Chen
Copyright Year	2011
Abstract	In order to make a decision about a region's current warning status of Citrus bacteria canker disease so as to guide farmers to take several effective measures to prevent and control it, a web-based automatic warning system for Citrus bacteria canker disease using AHP is proposed in this paper. For current factors which could cause Citrus bacteria canker disease are diversity, dynamic, real-time changes and etc. we use AHP methodology to take different factors into consideration and change the factors and their impacts whenever needed. Once each factor's weight is calculated, combing with a region's actual situation about these factors, we can obtain the region's current warning status by multiplication. Thus we can take several corresponding measures to prevent and control it. The application of this system shows that the design of the proposed multi-factor automatic warning system for citrus bacteria canker disease has been validated and we can get each factor's weight easily by using AHP. The system could help user to make objective judgments on subjective descriptions and get the correct result about a region's current warning status finally.
Starting Page	324
Ending Page	327
File Size	363412
Page Count	4
File Format	PDF
ISBN	9781457714191
DOI	10.1109/ICM.2011.200
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computers Microorganisms Databases Warning model Alarm systems Automatic warning system AHP Servers Mathematical model Diseases Citrus bacteria canker disease
Content Type	Text
Resource Type	Article

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