Evaluation of Diverse Convolutional Neural Networks and Training Strategies for Wheat Leaf Disease Identification with Field-Acquired Photographs

Evaluation of Diverse Convolutional Neural Networks and Training Strategies for Wheat Leaf Disease Identification with Field-Acquired Photographs

Tools for robust identification of crop diseases are crucial for timely intervention by farmers to minimize yield losses. Visual diagnosis of crop diseases is time-consuming and laborious, and has become increasingly unsuitable for the needs of modern agricultural production. Recently, deep convolut...

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Bibliographic Details
Main Authors: Jiale Jiang, Haiyan Liu, Chen Zhao, Can He, Jifeng Ma, Tao Cheng, Yan Zhu, Weixing Cao, Xia Yao
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Remote Sensing
Subjects:
wheat leaf diseases
deep learning
scene labeling
convolutional neural networks
transfer learning
Online Access:https://www.mdpi.com/2072-4292/14/14/3446

Internet

https://www.mdpi.com/2072-4292/14/14/3446

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