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A Real-Time Olive Fruit Detection for Harvesting Robot Based on YOLO Algorithms Cover

A Real-Time Olive Fruit Detection for Harvesting Robot Based on YOLO Algorithms

Open Access
|Aug 2023

Authors

Ahmad Aljaafreh

a.aljaafreh@ttu.edu.jo

Tafila Technical University, College of Engineering, Computer and Communication Engineering Department, Tafila, Jordan

Ezzaldeen Y. Elzagzoug

e.elzagzoug@amrc.co.uk

The University of Sheffield, AMRC North West, Digital Department, Blackburn, United Kingdom

Jafar Abukhait

jafar@ttu.edu.jo

Tafila Technical University, College of Engineering, Computer and Communication Engineering Department, Tafila, Jordan

Abdel-Hamid Soliman

a.soliman@staffs.ac.uk

Staffordshire University, School of Digital, Technologies and Arts, Department of Engineering, Stoke-on-Trent, United Kingdom

Saqer S. Alja’Afreh

eng.saqer_jaa@mutah.edu.jo

Mutah University, College of Engineering, Electrical Engineering Department, Karak, Jordan

Aparajithan Sivanathan

a.sivanathan@amrc.co.uk

The University of Sheffield, AMRC North West, Digital Department, Blackburn, United Kingdom

James Hughes

j.hughes@sheffield.ac.uk

The University of Sheffield, AMRC North West, Digital Department, Blackburn, United Kingdom
Language: English
Page range: 121 - 132
Published on: Aug 18, 2023
Published by: Slovak University of Agriculture in Nitra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2023 Ahmad Aljaafreh, Ezzaldeen Y. Elzagzoug, Jafar Abukhait, Abdel-Hamid Soliman, Saqer S. Alja’Afreh, Aparajithan Sivanathan, James Hughes, published by Slovak University of Agriculture in Nitra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.