Field testing of vision based macadamia yield monitoring
Paper
Paper/Presentation Title | Field testing of vision based macadamia yield monitoring |
---|---|
Presentation Type | Paper |
Authors | Dunn, Mark (Author), Billingsley, John (Author) and Bell, David (Author) |
Editors | Billingsley, John |
Journal or Proceedings Title | Proceedings of the 12th Annual Conference on Mechatronics and Machine Vision in Practice (M2VIP 2005) |
ERA Conference ID | 43911 |
Number of Pages | 6 |
Year | 2005 |
Place of Publication | Hertfordshire, England |
ISBN | 9781604236149 |
Conference/Event | 12th Annual Conference on Mechatronics and Machine Vision in Practice (M2VIP 2005) |
Event Details | 12th Annual Conference on Mechatronics and Machine Vision in Practice (M2VIP 2005) Delivery In person Event Date 29 Nov 2005 to end of 01 Dec 2005 Event Location Manila, Philippines |
Abstract | [Abstract]: Algorithms for visually identifying macadamia nuts in real time have been previously reported in (Dunn and Billingsley, 2003). This paper describes field trials on that system, with the additional tasks of integrating GPS and visual tree location. It describes a full working prototype harvester equipped with three cameras counting nuts, one camera mounted transversely logging in-field position by identifying individual trees, a ground speed radar and a Differential GPS receiver. With this system, individual nuts are identified and logged to a position in the field accurate to the nearest 10cm. This allows full yield mapping of the orchard to the individual tree level. |
Keywords | machine vision, data fusion, localisation |
ANZSRC Field of Research 2020 | 460304. Computer vision |
400799. Control engineering, mechatronics and robotics not elsewhere classified | |
400707. Manufacturing robotics | |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | National Centre for Engineering in Agriculture |
Hidden Valley Plantation, Australia |
https://research.usq.edu.au/item/9y129/field-testing-of-vision-based-macadamia-yield-monitoring
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