Computer Vision System for Autonomous Sea Buckthorn Harvesting Robot

2023 IEEE 64th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON 2023): Conference Proceedings 2023
Jurijs Timofejevs, Mihails Gorobecs, Andrejs Potapovs

In this paper an overview of the design of an automatic system, that is intended to harvest sea buckthorn berries is presented. In the first part, an overview of the literature is presented. After that the design of the modules of the system is described. A high-level mathematical model is described, and experimental results are presented in the following chapter. This paper is focused on promising ways to solve the task of creating an automatic harvesting machine, elements of it that are already implemented and those that are still in development.

Keywords
Computer Vision, Harvesting, Deep neural network, machine learning
DOI
10.1109/RTUCON60080.2023.10413091
Hyperlink
https://ieeexplore.ieee.org/document/10413091

Timofejevs, J., Gorobecs, M., Potapovs, A. Computer Vision System for Autonomous Sea Buckthorn Harvesting Robot. In: 2023 IEEE 64th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON 2023): Conference Proceedings, Latvia, Riga, 9-11 October, 2023. Piscataway: IEEE, 2023, pp.1-6. ISBN 979-8-3503-1774-9. e-ISBN 979-8-3503-1773-2. Available from: doi:10.1109/RTUCON60080.2023.10413091

Publication language
English (en)