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28 April 2023 Classification algorithm based on convolutional neural network for wild fungus
Yingyuan Du, Tao Wu, Gaoyuan Yang, Yuwei Yang, Ge Peng
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Proceedings Volume 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022); 126105D (2023) https://doi.org/10.1117/12.2671050
Event: Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 2022, Wuhan, China
Abstract
Poisoned by the edible fungus accident occurred frequently in recent years since that there were no effective and quick recognition methods for the wild fungus. To tackle the problem, a wild fungus classification algorithm based on a deep convolutional neural network (CNN) and Residual Network (ResNet), is proposed in this paper. An optimization method is also proposed for network training. In order to verify the effectiveness of the model and optimization method, a wild fungus database, in total of 1280 images, is used in this paper. The experimental results show that the proposed algorithm can effectively complete the classification task of wild mushrooms, and the optimization algorithm proposed in this paper can also effectively improve the classification effect of the algorithm model.
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Yingyuan Du, Tao Wu, Gaoyuan Yang, Yuwei Yang, and Ge Peng "Classification algorithm based on convolutional neural network for wild fungus", Proc. SPIE 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 126105D (28 April 2023); https://doi.org/10.1117/12.2671050
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KEYWORDS
Mathematical optimization
Data modeling
Detection and tracking algorithms
Image classification
Neural networks
Convolutional neural networks
Image enhancement
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