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APPLICATION OF ARTIFICIAL NEURAL NETWORK MODEL IN GREENHOUSE PLANTATION ENVIRONMENTS

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org

Citation:  Paper number  033008,  2003 ASAE Annual Meeting . (doi: 10.13031/2013.14046) @2003
Authors:   Shichao Ou, Chen Liancheng, Guo Jianhua, Tang Xianquan
Keywords:   Artificial neural network, nerve units, data processing, environmental inspection system

Depending upon the nonlinear feature between neural unit in artificial neural network, BP neural network was used to develop a mathematical model for automatic testing in greenhouse environmental plantation. The design of the network structure and the learning algorithms was also discussed. Experimental statistical result of the temperature inspection model indicated that the average error was 0.4. when compared with real temperature which met the requirement of greenhouse environment. The results showed that the difficulty in adjusting the hardware was reduced when the mathematical model was adopted. It is more convenient to assemble and maintain the test system in the field.

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