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Kexiao Xie, Dongkai Lin, Weihan Zhu, Yongqiang Ma, Jiaxiong Qiu, Youcheng Chen and Zhidan Chen
Tea is a global economic crop. In the traditional sales model, the quality of tea is difficult to judge via external clues, and it basically relies on consumers to taste and experience it firsthand. However, currently, most e-commerce platforms can only ...
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Kun-Yi Chen, Chi-Yu Chang, Zhi-Ren Tsai, Chun-Ting Lee, Zon-Yin Shae
Pág. 199 - 212
To solve tea image classification problems, this study focuses on triplet loss convolutional neural network to classify six high-mountain oolong tea classes. In the experiment, instead of using traditional deep learning training approach for local featur...
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Yuan hong Zhong, Shun Zhang, Rongbu He, Jingyi Zhang, Zhaokun Zhou, Xinyu Cheng, Guan Huang and Jing Zhang
Feature extraction is a key part of the electronic tongue system. Almost all of the existing features extraction methods are ?hand-crafted?, which are difficult in features selection and poor in stability. The lack of automatic, efficient and accurate fe...
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