Leaf Disease image classification method based on improved convolutional neural network-Reference-Cited by-同舟云学术

Leaf Disease image classification method based on improved convolutional neural network

Published:2022-07-28 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)
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Author:

Wenxuan Wei¹,Qianshu Wang²,Chaofan Hao³,Xizhe Sun⁴,Ruiming Bao⁵,Toe Teoh Teik⁶

Affiliation:

1. Beijing University of Chemical Technology,Information Management and Information System,Beijing,China

2. Cyber Security Harbin Institute of Technology,Weihai,China

3. Beijing University of Technology,Faculty of Information Technology,Beijing,China

4. Sichuan University,Faculty of Engineering Mechanic,Chengdu,China

5. Shanghai Polytechnic University,School of Resources and Environmental Engineering,Shanghai,China

6. Nanyang Technological University,NTU Business AI Lab,Singapore

Funder

Nanyang Technological University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9886000/9887377/09887392.pdf?arnumber=9887392

Reference8 articles.

1. Identification of Maize Leaf Disease Based on Image Processing and BP Divine Meridian Network[J];kaixing;China Journal of agricultural machinery chemistry,2019

2. Based on the field of the regional convolutional god meridian network Maize leaf disease identification[J];xiangpeng;Journal of South China Agricultural University,2020

3. Research on maize disease identification method based on convolutional god meridian network[J];guowei;China Journal of agricultural machinery chemistry,2021

4. Multi-scale improvement of convolutional neural network and its application in symptom recognition of Maize disease [J];meijuan;Journal of Henan Agricultural University,0

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