%0 Journal Article
%T Recognition of Artificial Ripening Tomato and Nature Mature Tomato Based on the Double Parallel Genetic Neural Network
%A Haibo Zhao
%A Xianghong Zhou
%J Advance Journal of Food Science and Technology
%D 2013
%I Maxwell Science Pubilication
%X In order to prevent artificial ripening tomato into markets to harm consumers' health, a double parallel genetic neural network identification system was designed. This system obtained tomato external color characteristic parameters (R, G, B) through the computer vision device and changed the RGB value into HIS value. Put tomato external color characteristic parameters as input, tomato maturity properties as output and verified the system with test samples. The test results show that, the correct recognition rate of the system is 93.8%, providing the reference for further research of artificial ripening tomato and natural mature tomato.
%K Artificial ripening tomato
%K genetic algorithm
%K natural mature tomato
%K neural network
%U http://www.maxwellsci.com/jp/abstract.php?jid=AJFST&no=287&abs=22