WEB-Based Intelligent Diagnosis System for Cotton Diseases Control

摘要：

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.

关键词： Cotton Diseases Intelligent Diagnosis System

作者: Hui Li Ronghua Ji Jianhua Zhang Xue Yuan Kaiqun Hu Lijun Qi

作者单位: College of Engineering, China Agriculture University, Beijing, P.R. China, 100083 College of Electric and Information Engineering, China Agriculture University,Beijing, P.R.China.100

会议类型: 国际会议

会议名称: The 4th IFIP International on Computer and Computing Technologies in Agriculture and the 4th Symposium on Development of Rural Information(第四届国际计算机及计算机技术在农业中的应用研讨会暨第四届中国农业信息化发展论坛 CCTA 2010)

会议地点: 南昌

会议语种:英文

页码: 483-490

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）