Prioritising R&D needs for mechatronic and data dependent applications in Australian sugarcane
Paper
Schroeder BL, Jensen, T, Panitz, JH and Wood, AW. 2021. "Prioritising R&D needs for mechatronic and data dependent applications in Australian sugarcane." 42nd Annual Conference of the Australian Society of Sugar Cane Technologists (ASSCT 2021) . Bundaberg, Australia 21 - 23 Apr 2021 Australia. Australian Society of Sugar Cane Technologists. pp. 127-131
| Paper/Presentation Title | Prioritising R&D needs for mechatronic and data dependent applications in Australian sugarcane |
|---|---|
| Presentation Type | Paper |
| Authors | Schroeder BL, Jensen, T, Panitz, JH and Wood, AW |
| Journal or Proceedings Title | Proceedings of the 42nd Annual Conference of the Australian Society of Sugar Cane Technologists (ASSCT 2021) |
| Journal Citation | 42 |
| Page Range | 127-131 |
| Number of Pages | 5 |
| Year | 2021 |
| Publisher | Australian Society of Sugar Cane Technologists |
| Place of Publication | Australia |
| Web Address (URL) of Conference Proceedings | https://www.assct.com.au/ |
| Conference/Event | 42nd Annual Conference of the Australian Society of Sugar Cane Technologists (ASSCT 2021) |
| Event Details | 42nd Annual Conference of the Australian Society of Sugar Cane Technologists (ASSCT 2021) Parent Australian Society of Sugar Cane Technologists Conference Delivery In person Event Date 21 to end of 23 Apr 2021 Event Location Bundaberg, Australia Event Venue Bundaberg Multiplex Sports & Convention Centre |
| Abstract | Sugarcane-production systems in Australia continue to evolve as on-farm practices and management strategies are tested and adopted. Mechatronic and data-dependent (MADD) applications offer novel ways of contributing to this process. Here we provide a summary of a paper delivered at the M2VIP Conference held at the University of Southern Queensland in December 2019. We indicated where MADD-related R&D opportunities exist within the different stages of a typical semi-irrigated one-year production system. These were ranked from currently available/being adopted to requiring R&D effort. They were classified according to complexity and estimated timeframe for successful outcomes. Several potential MADD applications were recognised as being possible in the shorter term using existing knowledge and technologies. Others were identified as being more complex and needing longer timeframes to produce workable outputs. The latter included (i) automated and robust sugar sensors to determine commercial cane sugar (CCS) at appropriate heights in the crop at harvest, and (ii) automated/semi-automated in-field robotic soil-test equipment. Irrespective of the level of complexity, comprehensive evaluation of MADD applications for use in sugarcane-production systems is needed to ensure that they are appropriate, reliable and robust. |
| Keywords | Mechatronic and data-dependent applications; RD&E and A opportunities; Sugarcane production systems |
| ANZSRC Field of Research 2020 | 300299. Agriculture, land and farm management not elsewhere classified |
| 400799. Control engineering, mechatronics and robotics not elsewhere classified | |
| Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
| Byline Affiliations | Centre for Agricultural Engineering (Operations) |
| School of Agriculture and Environmental Science |
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