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
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)