Crop Disease Classification on Inadequate Low-Resolution Target Images

Crop Disease Classification on Inadequate Low-Resolution Target Images

Currently, various agricultural image classification tasks are carried out on high-resolution images. However, in some cases, we cannot get enough high-resolution images for classification, which significantly affects classification performance. In this paper, we design a crop disease classification...

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Bibliographic Details
Main Authors: Juan Wen, Yangjing Shi, Xiaoshi Zhou, Yiming Xue
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Sensors
Subjects:
super-resolution
Generative Adversarial Networks
Convolutional Neural Networks
disease classification
Online Access:https://www.mdpi.com/1424-8220/20/16/4601

Internet

https://www.mdpi.com/1424-8220/20/16/4601

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