In-Field Citrus Disease Classification via Convolutional Neural Network from Smartphone Images

In-Field Citrus Disease Classification via Convolutional Neural Network from Smartphone Images

A high-efficiency, nondestructive, rapid, and automatic crop disease classification method is essential for the modernization of agriculture. To more accurately extract and fit citrus disease image features, we designed a new 13-layer convolutional neural network (CNN13) consisting of multiple convo...

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Bibliographic Details
Main Authors: Changcai Yang, Zixuan Teng, Caixia Dong, Yaohai Lin, Riqing Chen, Jian Wang
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Agriculture
Subjects:
citrus diseases
classification
convolutional neural network
transfer learning
smartphone image
field image
Online Access:https://www.mdpi.com/2077-0472/12/9/1487

Internet

https://www.mdpi.com/2077-0472/12/9/1487

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