Integrating Multimedia and Artifical Intelligence for Pest Prediction and Aeration Control of Stored Grain Bins
In the present study,an intelligent system with human-machine interface of knowledge acquisition is established to implement the pest prediction and the aeration control of stored grain bins. In the system,recurrent neuro-fuzzy network models are proposed to predict temperature evolvement in the grain bins. 3D multimedia displays of node sensormeasured temperatures,and its gradient distributions of the given grain layer and their variations in the interval of the given time are used to extract the system knowledge in the current and future. The results of the experiment in the two grain depots in northeastern China have verified the effectiveness of the system.
Grain storage recurrent neuro-fuzzy network wireless communication aeration control pest prediction.
Xiujuan Liu Chunguang Wang Yunhong Su Tieyu Hu
Aviation Theory Department,Aviation University of Air Force,Changchun 130022,China
国际会议
2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)
北京
英文
3008-3011
2009-08-16（万方平台首次上网日期，不代表论文的发表时间）