World's Best Scientists 2026 revealed!
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Computer Science
Australia
2025

D-Index & Metrics

Computer Science

D-Index
59
Citations
13903
World Ranking
3423
National Ranking
96

Research.com Recognitions

  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2023 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award

Overview

Salah Sukkarieh is affiliated with the University of Sydney in Australia. Their research spans multiple fields, including Engineering, Agricultural and Biological Sciences, and Computer Science. The scientist's work often intersects these areas, focusing particularly on plant science, computer vision and pattern recognition, control and systems engineering, mechanical engineering, and aerospace engineering as notable subfields of study.

The research themes addressed by Salah Sukkarieh revolve around several main topics. These include smart agriculture and artificial intelligence, modular robots and swarm intelligence, animal behavior and welfare studies, food supply chain traceability, target tracking and data fusion in sensor networks, fault detection and control systems, and robotic path planning algorithms.

Their publication record shows a considerable emphasis on the following venues: arXiv (Cornell University), Computers and Electronics in Agriculture, Journal of Field Robotics, Animals, and Automatica.

Co-authorship collaborations are an important aspect of their research output. Frequent co-authors include He Kong, Yongliang Qiao, Daobilige Su, Nathan Wallace, and Cameron Clark.

Selected recent papers by Salah Sukkarieh include:

  • Intelligent perception for cattle monitoring: A review for cattle identification, body condition score evaluation, and weight estimation (2021), Computers and Electronics in Agriculture
  • Data augmentation for deep learning based semantic segmentation and crop-weed classification in agricultural robotics (2021), Computers and Electronics in Agriculture
  • Design and evaluation of a modular robotic plum harvesting system utilizing soft components (2020), Journal of Field Robotics
  • Real time detection of inter-row ryegrass in wheat farms using deep learning (2021), Biosystems Engineering
  • Intelligent Perception-Based Cattle Lameness Detection and Behaviour Recognition: A Review (2021), Animals

Best Publications

  • Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review

    Anna Chlingaryan;Salah Sukkarieh;Brett Whelan

  • A high integrity IMU/GPS navigation loop for autonomous land vehicle applications

    S. Sukkarieh;E.M. Nebot;H.F. Durrant-Whyte

  • The aiding of a low-cost strapdown inertial measurement unit using vehicle model constraints for land vehicle applications

    G. Dissanayake;S. Sukkarieh;E. Nebot;H. Durrant-Whyte

  • Visual-Inertial-Aided Navigation for High-Dynamic Motion in Built Environments Without Initial Conditions

    T. Lupton;S. Sukkarieh

  • An Analytical Continuous-Curvature Path-Smoothing Algorithm

    Kwangjin Yang;Salah Sukkarieh

  • Online localization of radio-tagged wildlife with an autonomous aerial robot system

    Oliver M. Cliff;Robert Fitch;Salah Sukkarieh;Debbie Saunders

  • Real-Time Navigation, Guidance, and Control of a UAV Using Low-Cost Sensors.

    Jong-Hyuk Kim;Salah Sukkarieh;Stuart Wishart

  • Airborne simultaneous localisation and map building

    Jong-Hyuk Kim;S. Sukkarieh

  • Low Cost, High Integrity, Aided Inertial Navigation Systems for Autonomous Land Vehicles

    Salah Sukkarieh

  • Autonomous airborne navigation in unknown terrain environments

    J. Kim;S. Sukkarieh

  • 3D smooth path planning for a UAV in cluttered natural environments

    Kwangjin Yang;S. Sukkarieh

  • Real-time implementation of airborne inertial-SLAM

    Jonghyuk Kim;Salah Sukkarieh

  • Feature Learning Based Approach for Weed Classification Using High Resolution Aerial Images from a Digital Camera Mounted on a UAV

    Calvin Hung;Zhe Xu;Salah Sukkarieh

  • Observability analysis and active control for airborne SLAM

    M. Bryson;S. Sukkarieh

  • Mapping almond orchard canopy volume, flowers, fruit and yield using lidar and vision sensors

    James Patrick Underwood;Calvin Hung;Brett Whelan;Salah Sukkarieh

  • Intelligent perception for cattle monitoring: A review for cattle identification, body condition score evaluation, and weight estimation

    Yongliang Qiao;He Kong;Cameron Clark;Sabrina Lomax

  • Vision-based Obstacle Detection and Navigation for an Agricultural Robot

    David Ball;David Ball;Ben Upcroft;Ben Upcroft;Gordon Wyeth;Gordon Wyeth;Peter Corke;Peter Corke

  • Inertial Aiding of Inverse Depth SLAM using a Monocular Camera

    P. Pinies;T. Lupton;S. Sukkarieh;J.D. Tardos

  • Cattle segmentation and contour extraction based on Mask R-CNN for precision livestock farming

    Yongliang Qiao;Matthew Truman;Salah Sukkarieh

  • Building a Robust Implementation of Bearing-only Inertial SLAM for a UAV

    Mitch Bryson;Salah Sukkarieh

  • 6DoF SLAM aided GNSS/INS Navigation in GNSS Denied and Unknown Environments

    Jonghyuk Kim;Salah Sukkarieh

Frequent Co-Authors

Hugh Durrant-Whyte
Hugh Durrant-Whyte University of Sydney
Ben Upcroft
Ben Upcroft Queensland University of Technology
James Underwood
James Underwood University of Sydney
Juan Nieto
Juan Nieto Microsoft (United States)
Fabio Ramos
Fabio Ramos University of Sydney
Eduardo Nebot
Eduardo Nebot University of Sydney
Peter Corke
Peter Corke Queensland University of Technology
Gamini Dissanayake
Gamini Dissanayake University of Technology Sydney
Anibal Ollero
Anibal Ollero University of Seville
Min-Jea Tahk
Min-Jea Tahk Korea Advanced Institute of Science and Technology

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