HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Conference papers

WEB-Based Intelligent Diagnosis System for Cotton Diseases Control

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.
Document type :
Conference papers
Complete list of metadata

Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Monday, July 17, 2017 - 5:00:08 PM
Last modification on : Friday, October 23, 2020 - 5:00:58 PM
Long-term archiving on: : Saturday, January 27, 2018 - 1:26:06 AM


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



Hui Li, Ronghua Ji, Jianhua Zhang, Xue Yuan, Kaiqun Hu, et al.. WEB-Based Intelligent Diagnosis System for Cotton Diseases Control. 4th Conference on Computer and Computing Technologies in Agriculture (CCTA), Oct 2010, Nanchang, China. pp.483-490, ⟨10.1007/978-3-642-18354-6_57⟩. ⟨hal-01563443⟩



Record views


Files downloads