The use of machine vision for assessment of fodder quality
Paper
Paper/Presentation Title | The use of machine vision for assessment of fodder quality |
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Presentation Type | Paper |
Authors | Dunn, Mark T. (Author) and Billingsley, John (Author) |
Editors | Bradbeer, Robin and Ku, Kenneth |
Journal or Proceedings Title | Proceedings of the 14th Annual Conference on Mechatronics and Machine Vision in Practice (M2VIP 2007) |
Number of Pages | 6 |
Year | 2007 |
Place of Publication | Hong Kong |
ISBN | 9781424413584 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/MMVIP.2007.4430739 |
Web Address (URL) of Paper | http://www.m2vip.com |
Conference/Event | 14th Annual Conference on Mechatronics and Machine Vision In Practice (M2VIP 2007) |
Event Details | 14th Annual Conference on Mechatronics and Machine Vision In Practice (M2VIP 2007) Parent International Conference on Machine Vision and Mechatronics in Practice Delivery In person Event Date 03 to end of 05 Dec 2007 Event Location Xiamen, China |
Abstract | At present fodder is assessed subjectively. The evaluation depends greatly on a personal opinion and there can be large variations in assessments. The project has investigated the use of machine vision in several ways, |
Keywords | fodder; vision-based quality control; microspectral assessment |
ANZSRC Field of Research 2020 | 400799. Control engineering, mechatronics and robotics not elsewhere classified |
350715. Quality management | |
409901. Agricultural engineering | |
Public Notes | © 2007 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Byline Affiliations | National Centre for Engineering in Agriculture |
https://research.usq.edu.au/item/9y885/the-use-of-machine-vision-for-assessment-of-fodder-quality
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