会议专题

Study on Rice Pest Insect and Disease Diagnosis Expert System in Jiangxi Province using BP Neural Network

The accurate diagnosis of rice pest insects and diseases is very important for high yielding and high quality cultivation of rice. Because the characteristics of rice pest insects and diseases are miscellaneous, and its occurred environment is complex, it is difficult to diagnose accurately using artificial intelligence system. In this study, BP neural network technology is applied to a rice pest insects and diseases diagnosis expert system, it can get better result than the general expert system inference engine while processing the incomplete and vague information.

BP Neural Network rice pest insect and disease expert system diagnosis

Yingqiong Peng Yinglong Wang Jianjun Tang Zhiping Li

College of Software,Jiangxi Agricultural University,Nanchang, Jiangxi, China, 330045 College of Computer & Information Engineering,Jiangxi Agricultural University,Nanchang, Jiangxi, Chi

国际会议

2010 3rd IEEE International Conference on Computer Science and Information Technology(第三届IEEE计算机科学与信息技术国际会议 ICCSIT 2010)

成都

英文

432-434

2010-07-07(万方平台首次上网日期,不代表论文的发表时间)