%0 Journal Article %A ZHANG You-jun %A XIONG Wei-li %A ZHANG Lin %A XU Bao-guo %T Application of neural network based on improved PSO in data fusion of greenhouse temperature %D 2009 %R 10.3778/j.issn.1002-8331.2009.17.066 %J Computer Engineering and Applications %P 218-220 %V 45 %N 17 %X The temperature distribution in the greenhouse influenced by many kinds of environmental factors is uneven.In order to get precise data,the neural network based on improved PSO is proposed for greenhouse data fusion,and the distributing diagram approach is used to eliminate the careless mistake data.Data fusion technology gets efficient data,providing precise information for greenhouse’s management.The results show that the precision of the collected data is improved and the careless error caused by disabled sensors is eliminated effectively. %U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.2009.17.066