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Copyright of Transactions of the Chinese Society of Agricultural Engineering is the property of Chinese Society of Agricultural Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Data Acquisition & Processing / Shu Ju Cai Ji Yu Chu Li is the property of Editorial Department of Journal of Nanjing University of Aeronautics & Astronautics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Firstly, this paper reviewed the development of computer vision, presented the elementary knowledge of neurons, multi-layer perceptron, back-propagation algorithm, and the development of convolutional neural network (CNN) and its basic operation of convolution and pooled etc. Secondly, it discussed the structures of typical convolutional neural networks such as AlexNet, VGGNet, GoogLeNet and ResNet etc., and mainly introduced CapsNet. And then it summaried the research progress of the application of CNN in image classification, image semantic segmentation, image target detection and image generation. At last, this paper presented the research challenge of CNN and the future next work for CapsNet. [ABSTRACT FROM AUTHOR]