Dr. Nikolaos Tsoulias | Precision Agriculture | Best Researcher Award

Dr. Nikolaos Tsoulias, Hochschule Geisenheim University, Germany

Nikos Tsoulias is a Senior Researcher and Lecturer at Hochschule Geisenheim University in Germany, specializing in agricultural engineering with a focus on precision horticulture and the integration of advanced AI and machine learning techniques in agriculture. He holds a Ph.D. in Precision Horticulture from the Agricultural University of Athens and multiple master’s degrees in Precision Farming and Agricultural Engineering. Nikos has extensive research experience in real-time sensor communication, machine vision systems, and data acquisition software development for agricultural applications, particularly in vineyards and perennial crops. His work includes leading projects on ISO-compliant machinery integration, LiDAR and thermal imaging data fusion, and the development of predictive models for crop management. He has contributed to numerous international research collaborations and published widely in journals on smart agricultural technologies. With expertise in programming languages such as Python, MATLAB, and C++, Nikos combines cutting-edge technology with practical agricultural solutions to advance sustainability and productivity in modern farming.

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Summary of Suitability – Nikos Tsoulias for Best Researcher Award

Nikos Tsoulias is an accomplished researcher and academic in the field of precision horticulture and agricultural engineering, with a robust blend of expertise in advanced sensing technologies, machine learning, and real-time agricultural applications. His work focuses on developing innovative solutions that integrate optical sensors, machine vision, and data acquisition systems to enhance sustainable agricultural practices.

🎓 Education

Ph.D. in Precision Horticulture
Agricultural University of Athens, Greece | 2018 – 2021
MSc in Precision Farming
Harper Adams University, UK | 2014 – 2015
MSc in Agricultural Engineering
Agricultural University of Athens, Greece | 2012 – 2014
BSc in Agriculture
Agricultural University of Athens, Greece | 2009 – 2012

💼 Work Experience

Senior Researcher (Agricultural Engineering)
Hochschule Geisenheim University, Germany | Jan 2023 – Present
Postdoctoral Researcher (Precision Horticulture)
Leibniz Institute for Agricultural Engineering and Bioeconomy, Germany | Nov 2021 – Present
Doctoral Researcher (Precision Horticulture)
Leibniz Institute for Agricultural Engineering and Bioeconomy, Germany | Jun 2018 – Nov 2021
Research Associate (Precision Horticulture)
Leibniz Institute for Agricultural Engineering and Bioeconomy, Germany | Jan 2017 – Jun 2017
Research Associate (Precision Farming)
Harper Adams University, UK | Jan 2015 – Aug 2015

🏆 Achievements & Awards

Lead author of impactful journal articles on real-time applications in perennial trees and vegetables, ISO11783-compliant variable rate spraying, and UAV-based fruit detection and yield estimation.
Successfully developed innovative machine vision systems and data acquisition software for precision horticulture applications.
Played a key role in H2020 and EIP-AGRI projects involving machine learning and agricultural robotics.

🌟 Honors & Recognition

Recognized expert in precision horticulture and agricultural engineering with international collaborations and leadership roles.
Contributor to multiple international scientific journals and conferences, enhancing sustainable agricultural technology development.

Publication Top Notes:

Real-time applications in perennial trees and vegetables – A review

Developing an ISO11783-compliant prescription map for variable rate spraying in vineyards based on 3D canopy reconstruction

Fruit Detection and Yield Mass Estimation from a UAV Based RGB Dense Cloud for an Apple Orchard

Fruit Water Stress Index of Apple Measured by Means of Temperature-Annotated 3D Point Cloud

Fruit surface temperature data at different ripeness stages and ambient temperature provided as temperature-annotated 3D point clouds of apple trees

Hyper- and Multi-spectral Imaging Technologies

Assoc Prof Dr. Wujing Cao, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China

Wujing Cao is an Associate Professor at the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences (CAS), and serves as a Master’s thesis supervisor at the University of Chinese Academy of Sciences. Recognized as a young talent by the China Association for Science and Technology, recommended by the Chinese Society of Rehabilitation Medicine, his research focuses on lower limb exoskeletons and intelligent prosthetics. He has led or contributed to 10 national, provincial, and municipal research projects, publishing 20 SCI-indexed journal articles, including 2 ESI Highly Cited Papers as first or corresponding author. With 25 patents to his name, Wujing has earned several prestigious awards, including the Second Prize of the Science and Technology Award from the Chinese Society of Rehabilitation Medicine and the Chapecoense Outstanding Young Scholar Award. His contributions have also been instrumental in winning the First Prize for Technological Invention in Guangdong Province and Shenzhen City, as well as the Second Prize for Scientific and Technological Progress in Chongqing Municipality. He currently holds several prominent roles, including Standing Committee Member and Secretary-General of the Youth Working Committee of the Chinese Society of Rehabilitation Medicine, youth editorial board member of the “Robot” magazine, and special issue editor for three SCI-indexed journals.

Suitability for the Best Researcher Award: Wujing Cao

In evaluating Wujing Cao’s suitability for the Best Researcher Award, his academic and research accomplishments make a strong case. As an Associate Professor at the Shenzhen Institute of Advanced Technology, CAS, and a Master’s supervisor at the University of Chinese Academy of Sciences, his research focuses on lower limb exoskeletons and intelligent prosthetics—both critical areas in rehabilitation technology and biomechatronics. Supported by the China Association for Science and Technology, he has demonstrated leadership in these fields.

Professional Experience:

Associate Professor, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences (CAS)

Master’s Thesis Supervisor, University of Chinese Academy of Sciences

Young Talent, Supported by the China Association for Science and Technology (recommended by the Chinese Society of Rehabilitation Medicine)

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