Detection and Classification of Temporal Changes for Citrus Canker Growth Rate Using Deep Learning-Reference-Cited by-同舟云学术

Detection and Classification of Temporal Changes for Citrus Canker Growth Rate Using Deep Learning

Published:2023 Issue: Volume:11 Page:127637-127650
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Zainab Naureen¹,Afzal Hammad¹^ORCID,Al-Shehari Taher²^ORCID,Al-Razgan Muna³^ORCID,Iltaf Naima¹^ORCID,Zakria Muhammad⁴,Hyder Muhammad Javed⁵,Nawaz Raheel⁶^ORCID

Affiliation:

1. Department of Computer Software Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan

2. Department of Self-Development Skills-Computer Skills, Common First Year Deanship, King Saud University, Riyadh, Saudi Arabia

3. Department of Software Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia

4. National Agricultural Research Centre (NARC), Crop Diseases Research Institute (C.D.R.I.), Islamabad, Pakistan

5. Department of Mechanical Engineering, Capital University of Science and Technology (CUST), Islamabad, Pakistan

6. Department of Digital Transformation, Staffordshire University, Stoke-on-Trent, U.K.

Funder

King Saud University, Riyadh, Saudi Arabia, through the Researchers

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/ielx7/6287639/10005208/10314481.pdf?arnumber=10314481

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