WEB-based intelligent diagnosis system for cotton diseases control

Hui Li, Ronghua Ji, Jianhua ZHANG, Xue Yuan, Kaiqun Hu, Lijun Qi*

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

11 Citations (Scopus)

Abstract

Diseases control is always an issue in cotton production, the timely detection and effective control of diseases depend on, in most cases, an effective diagnosis system. Based on the distribution of cotton diseases in the main yielding areas of China in recent years, the main species and characters of cotton diseases were listed classified in the study and a database was established for this purpose. BP neural network as a decision-making system was used to establish an intelligent diagnosis model. Based on the model, a WEB-based Intelligent Diagnosis System for Cotton Diseases Control was developed. An experiment scheme was designed for the system test, in which 80 samples, including 8 main species of diseases, 10 samples in each sort were included. The result showed the rate of correctness that system could identify the symptom was 89.5% in average, and the average running time for a diagnosis was 900ms.

Original languageEnglish
Title of host publicationComputer and Computing Technologies in Agriculture IV - 4th IFIP TC 12 Conference, CCTA 2010, Selected Papers
Pages483-490
Number of pages8
EditionPART 3
DOIs
Publication statusPublished - 2011
Event4th IFIP International Conference on Computer and Computing Technologies in Agriculture and the 4th Symposium on Development of Rural Information, CCTA 2010 - Nanchang, China
Duration: 22 Oct 201025 Oct 2010

Publication series

NameIFIP Advances in Information and Communication Technology
NumberPART 3
Volume346 AICT
ISSN (Print)1868-4238

Conference

Conference4th IFIP International Conference on Computer and Computing Technologies in Agriculture and the 4th Symposium on Development of Rural Information, CCTA 2010
Country/TerritoryChina
CityNanchang
Period22/10/1025/10/10

Scopus Subject Areas

  • Information Systems
  • Computer Networks and Communications
  • Information Systems and Management

User-Defined Keywords

  • Cotton
  • Diseases
  • Intelligent Diagnosis System

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