Abstract
Weeds are causing substantial losses for livestock farming and decrease land cultivability in farming. Treating weeds with herbicides is harmful for the environment and we are targeting automatic mechanical weeding of Rumex longifolius in pastures using mobile field robot technologies. We are relying on 2D/3D computer vision technologies and have developed an algorithmic solution for detecting seedlings of Rumex weeds. We show promising test results on weed detecting and lozalizing for robotic removal.
Original language | English |
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Title of host publication | 18th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, Proceedings (MESA 2022) |
Publisher | IEEE Institute of Electrical and Electronic Engineers |
Number of pages | 7 |
ISBN (Electronic) | 978-1-6654-5570-1 |
ISBN (Print) | 978-1-6654-5571-8 |
DOIs | |
Publication status | Published - 2023 |
MoE publication type | A4 Article in a conference publication |
Event | 18th International Conference on Mechatronic, Embedded Systems and Applications, IEEE/ASME MESA 2022 : Hybrid Event - National Taiwan University of Science and Technology International Building 202, Taipei, Taiwan, Province of China Duration: 28 Nov 2022 → 30 Nov 2022 |
Conference
Conference | 18th International Conference on Mechatronic, Embedded Systems and Applications, IEEE/ASME MESA 2022 |
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Country/Territory | Taiwan, Province of China |
City | Taipei |
Period | 28/11/22 → 30/11/22 |
Keywords
- clustering
- image local entropy
- Machine vision
- mobile robot
- weed recognition