Apple Leaf Diseases Recognition Based on an Improved Convolutional Neural Network

Apple Leaf Diseases Recognition Based on an Improved Convolutional Neural Network

Scab, frogeye spot, and cedar rust are three common types of apple leaf diseases, and the rapid diagnosis and accurate identification of them play an important role in the development of apple production. In this work, an improved model based on VGG16 is proposed to identify apple leaf diseases, in...

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Bibliographic Details
Main Authors:	Qian Yan, Baohua Yang, Wenyan Wang, Bing Wang, Peng Chen, Jun Zhang
Format:	Article
Language:	English
Published:	MDPI AG 2020-06-01
Series:	Sensors
Subjects:	apple leaf diseases transfer learning deep learning convolutional neural networks
Online Access:	https://www.mdpi.com/1424-8220/20/12/3535

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