Research on Plant Image Recognition Method Based on Depth Learning
YUAN Yin;WANG Dong-bin;LIU Yong-jin;Shenzhen Wutong Mountain Scenic Area Management Office in Guangdong Province;Shenzhen Itaomiao E-commerce Technology Co.,Ltd.;
Traditional plant image recognition research is mainly focused on plant leaf images.The deep neural network was applied to the field of plant recognition,it breaks through the restriction of the local leaf image and identifies the conventional plant pictures.Google Net deep convolution neural network structure was used,the training set was extend by data preprocessing methods such as image rotation,mirror image,random clipping and so on,and then SGD(stochastic gradient descent method)was used to optimize the model algorithm to generate 50 kinds of common plant image recognition model.The results showed that the model could achieve an average accuracy of 90% on the test data set.
【CateGory Index】： TP391.41