Edge-Cloud Remote Sensing Data-Based Plant Disease Detection Using Deep Neural Networks With Transfer Learning-Reference-Cited by-同舟云学术

Edge-Cloud Remote Sensing Data-Based Plant Disease Detection Using Deep Neural Networks With Transfer Learning

Published:2024 Issue: Volume:17 Page:11219-11229
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Mohammed Mazin Abed¹^ORCID,Lakhan Abdullah²^ORCID,Abdulkareem Karrar Hameed³^ORCID,Almujally Nouf Abdullah⁴^ORCID,Bourair Sadiq Mohammed Taqi Al-Attar Bourair⁵,Memon Sajida⁶,Marhoon Haydar Abdulameer⁷^ORCID,Martinek Radek⁸^ORCID

Affiliation:

1. Department of Artificial Intelligence, College of Computer Science and Information Technology, University of Anbar, Anbar, Iraq

2. Department of Computer Science, Dawood University of Engineering and Technology, Sindh, Pakistan

3. College of Agriculture, Al-Muthanna University, Samawah, Iraq

4. Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

5. College of Medicine, University of Al-Ameed, Karbala, Iraq

6. Department of Computer System Engineering, Dawood University of Engineering and Technology, Sindh, Pakistan

7. Information and Communication Technology Research Group, Scientific Research Center, Al-Ayen University, Thi-Qar, Iraq

8. Department of Cybernetics and Biomedical Engineering, VSB-Technical University of Ostrava, Ostrava, Czech Republic

Funder

European Commission

REFRESH -Research Excellence For REgion Sustainability and High-tech Industries

Operational Programme Just Transition

Ministry of Education, Youth and Sports of the Chezk Republic conducted by VSB -the Technical University of Ostrava, Czechia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/4609443/10330207/10551473.pdf?arnumber=10551473

Reference28 articles.

1. Using NASA Earth observations and Google Earth Engine to map winter cover crop conservation performance in the Chesapeake Bay watershed

2. Mapping understory invasive plant species with field and remotely sensed data in Chitwan, Nepal

3. Advances in plant nutrition diagnosis based on remote sensing and computer application

4. Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation

5. PlantNet: A dual-function point cloud segmentation network for multiple plant species

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