An Efficient Approach for Crops Pests Recognition and Classification Based on Novel DeepPestNet Deep Learning Model-Reference-Cited by-同舟云学术

An Efficient Approach for Crops Pests Recognition and Classification Based on Novel DeepPestNet Deep Learning Model

Published:2022 Issue: Volume:10 Page:73019-73032
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ullah Naeem¹,Khan Javed Ali²^ORCID,Alharbi Lubna Abdulaziz³^ORCID,Raza Asaf¹,Khan Wahab⁴^ORCID,Ahmad Ijaz⁵

Affiliation:

1. Department of Software Engineering, University of Engineering and Technology, Taxila, Taxila, Pakistan

2. Department of Software Engineering, University of Science and Technology, Bannu, Bannu, Pakistan

3. Department of Computer Science, College of Computers and Information Technology, University of Tabuk, Tabuk, Saudi Arabia

4. Department of Electrical Engineering, University of Science and Technology, Bannu, Bannu, Pakistan

5. CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

Funder

Department of Computer Science, College of Computers and Information Technology, University of Tabuk, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09825681.pdf?arnumber=9825681

Reference42 articles.

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4. ImageNet classification with deep convolutional neural networks;krizhevsky;Proc Adv Neural Inf Process Syst,2012

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