Potential of UAV imagery and Learning Techniques for determining gaps in sugarcane rows
Poster
Leekar, S, Jensen, TA, Chumpia, A and Schroeder, BL. 2024. "Potential of UAV imagery and Learning Techniques for determining gaps in sugarcane rows." 45th Annual Conference of the Australian Society of Sugar Cane Technologists (ASSCT 2024). Townsville, Australia 15 - 19 Apr 2024 Australia. Australian Society of Sugar Cane Technologists.
Paper/Presentation Title | Potential of UAV imagery and Learning Techniques for determining gaps in sugarcane rows |
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Presentation Type | Poster |
Authors | Leekar, S, Jensen, TA, Chumpia, A and Schroeder, BL |
Journal or Proceedings Title | Proceedings of the 45th Annual Conference of the Australian Society of Sugar Cane Technologists (ASSCT 2024) |
Journal Citation | pp. 51-51 |
Number of Pages | 1 |
Year | 2024 |
Publisher | Australian Society of Sugar Cane Technologists |
Place of Publication | Australia |
ISSN | 0726–0822 |
Web Address (URL) of Conference Proceedings | https://www.assct.com.au/images/2024_Conference/2024_ASSCT_Conference_Proceedings.pdf |
Conference/Event | 45th Annual Conference of the Australian Society of Sugar Cane Technologists (ASSCT 2024) |
Event Details | 45th Annual Conference of the Australian Society of Sugar Cane Technologists (ASSCT 2024) Parent Australian Society of Sugar Cane Technologists Conference Delivery In person Event Date 15 to end of 19 Apr 2024 Event Location Townsville, Australia Event Description The 2024 conference holds special significance as it revolves around the theme of "Profitability, Sustainability, and Adaptability" This theme aptly reflects the ever-changing landscape of our industry and the crucial role that adaptability plays in navigating the challenges and opportunities that lie ahead. By embracing sustainability and adaptability we can secure a prosperous and resilient future for the sugar industry. |
Keywords | deep learning |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 300407. Crop and pasture nutrition |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | University of Southern Queensland |
Kasetsart University, Thailand |
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