Plant Disease Detection Based on ACE and Deep Learning
The plant diseases an important problem in architecture production.It includes many kinds of disease,and has caused a lot of economic loss.For improving the correct rate of leaf identification,ACE is used to process the image of plant diseases.The effect of plant disease identification and the optimized parameter is both analyzed when ACE is combined with VGG16 or GoogleNet.The experimental results show that the correct rate of diseases identification is improved between 1%and 3%when ACE is used in VGG16 or GoogleNet.The maximum contrast gain and the window size of the ACE algorithm to find the local mean and is same for VGG16 and GoogleNet.
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