Identification of tea leaf diseases by using an improved deep convolutional neural network

• Published in: Sustainable computing informatics and systems Vol. 24; p. 100353
• Main Authors: Hu, Gensheng, Yang, Xiaowei, Zhang, Yan, Wan, Mingzhu
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.12.2019
• Subjects: Depthwise separable convolution; Machine learning; Neural network; Target identification; Tea leaf disease; Tea leaf disease; Depthwise separable convolution; Neural network; Target identification; Machine learning

•A method for identifying tea diseases with low cost and high identification accuracy is proposed.•Multiscale feature extraction is introduced to distinguish the features of different tea leaf diseases.•Depthwise separable convolution is used instead of standard convolution to reduce the number of m...