The use of machine vision for assessment of fodder quality

Dunn, Mark T. and Billingsley, John ORCID: https://orcid.org/0000-0002-7198-5594 (2007) The use of machine vision for assessment of fodder quality. In: M2VIP 2007: 14th Annual Conference on Mechatronics and Machine Vision in Practice, 3-5 Dec 2007, Xiamen, China.

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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,
to provide measures of fodder quality that will be ojective
and independent of the assessor. Growers will be able to
quote a quality measure that buyers can trust. The research
includes the possibility of discerning colour differences that are beyond the capability of the human eye, while still using equipment that is of relatively modest cost.

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Item Type:	Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed:	Yes
Item Status:	Live Archive
Additional Information:	© 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.
Faculty/School / Institute/Centre:	Historic - Faculty of Engineering and Surveying - Department of Mechanical and Mechatronic Engineering (Up to 30 Jun 2013)
Faculty/School / Institute/Centre:	Historic - Faculty of Engineering and Surveying - Department of Mechanical and Mechatronic Engineering (Up to 30 Jun 2013)
Date Deposited:	02 Jan 2008 01:16
Last Modified:	02 Jul 2013 22:55
Uncontrolled Keywords:	fodder; vision-based quality control; microspectral assessment
Fields of Research (2008):	09 Engineering > 0906 Electrical and Electronic Engineering > 090602 Control Systems, Robotics and Automation 15 Commerce, Management, Tourism and Services > 1503 Business and Management > 150313 Quality Management 09 Engineering > 0999 Other Engineering > 099901 Agricultural Engineering
Fields of Research (2020):	40 ENGINEERING > 4007 Control engineering, mechatronics and robotics > 400799 Control engineering, mechatronics and robotics not elsewhere classified 35 COMMERCE, MANAGEMENT, TOURISM AND SERVICES > 3507 Strategy, management and organisational behaviour > 350715 Quality management 40 ENGINEERING > 4099 Other engineering > 409901 Agricultural engineering
Socio-Economic Objectives (2008):	E Expanding Knowledge > 97 Expanding Knowledge > 970107 Expanding Knowledge in the Agricultural and Veterinary Sciences
Identification Number or DOI:	https://doi.org/10.1109/MMVIP.2007.4430739
URI:	http://eprints.usq.edu.au/id/eprint/3675

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