The use of machine vision for assessment of fodder quality

Dunn, Mark and Billingsley, John (2007) The use of machine vision for assessment of fodder quality. In: 14th Annual Conference on Mechatronics and Machine Vision in Practice, 3-5 Dec 2007, Xiamen, China.

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Abstract

[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 bjective 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.

Item Type:Conference or Workshop Item (DEST Category E) (Paper)
Additional Information:Deposited in accordance with the copyright policy of the publisher. © 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purpose or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Uncontrolled Keywords:fodder, vision-based quality control, microspectral assessment.
Fields of Research (FOR2008):09 Engineering > 0906 Electrical and Electronic Engineering > 090602 Control Systems, Robotics and Automation
07 Agricultural and Veterinary Sciences > 0799 Other Agricultural and Veterinary Sciences > 079999 Agricultural and Veterinary Sciences not elsewhere classified
09 Engineering > 0910 Manufacturing Engineering > 091007 Manufacturing Robotics and Mechatronics (excl. Automotive Mechatronics)
Subjects:300000 Agricultural, Veterinary and Environmental Sciences
290000 Engineering and Technology > 290300 Manufacturing Engineering > 290301 Robotics and Mechatronics
Socio-Economic Objective (SEO2008):UNSPECIFIED
ID Code:3675
Deposited By:Prof John Billingsley
Deposited On:02 Jan 2008 11:16
Last Modified:25 Mar 2009 13:18

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