Exploiting Hyperspectral Imaging and Optimal Deep Learning for Crop Type Detection and Classification-Reference-Cited by-同舟云学术

Exploiting Hyperspectral Imaging and Optimal Deep Learning for Crop Type Detection and Classification

Author:

Alajmi Masoud¹^ORCID,Mengash Hanan Abdullah²^ORCID,Eltahir Majdy M.³^ORCID,Assiri Mohammed⁴^ORCID,Ibrahim Sara Saadeldeen⁵,Salama Ahmed S.⁶^ORCID

Affiliation:

1. Department of Computer Engineering, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia

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

3. Department of Information Systems, College of Science and Art at Mahayil, King Khalid University, Abha, Saudi Arabia

4. Department of Computer Science, College of Sciences and Humanities-Aflaj, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia

5. Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia

6. Department of Electrical Engineering, Faculty of Engineering and Technology, Future University in Egypt, New Cairo, Egypt

Funder

Deanship of Scientific Research at King Khalid University for funding this work through large group Research Project

Princess Nourah bint Abdulrahman University Researchers

Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

Prince Sattam bin Abdulaziz University

Future University in Egypt

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

Reference23 articles.

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