Rice Disease Recognition and Feature Visualization Using a Convolutional Neural Network-Reference-Cited by-同舟云学术

Rice Disease Recognition and Feature Visualization Using a Convolutional Neural Network

Published:2022-11-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 11th International Conference on Computing and Pattern Recognition
language:
Short-container-title:

Author:

Wei Yana¹^ORCID,Wang Zhibin²^ORCID,Qiao Xiaojun²^ORCID

Affiliation:

1. Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, China and College of Information Engineering, Northwest A&F University, China

2. Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, China

Funder

The Science & Technology Innovation Ability Construction Project of Beijing Academy of Agriculture and Forestry Science

National Key R&D Program of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581807.3581811

Reference24 articles.

1. Golden seed breeding cloud platform for the management of crop breeding material and genealogical tracking

2. Cucumber disease recognition based on color feature and attribute reduction;Xie Z.;Jiangsu Journal of Agricultural Sciences.,2015

3. Study on recognition method of rice disease based on image;Guan Z.;Chinese Journal of Rice Science.,2010

4. Detection method of rice leaf blast based on image processing;Wu L.;Journal of Agricultural Mechanization Research.,2014

5. Identification method of rice sheath blight based on deep belief network;Guo D.;Journal of Agricultural Mechanization Research.,2019

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing Rice Crop Health Assessment: Evaluating Disease Identification with a CNN-RF Hybrid Approach;2024 International Conference on Innovations and Challenges in Emerging Technologies (ICICET);2024-06-07

2. BTSC: Binary tree structure convolution layers for building interpretable decision‐making deep CNN;CAAI Transactions on Intelligence Technology;2024-03-31

3. Rice Blight Disease Intensity Classification with CNN-SVM Fusion;2023 International Conference on Advanced Computing & Communication Technologies (ICACCTech);2023-12-23