Machine Vision System in postharvest technology

 

 

DS Jayas^1* and C Karunakaran²

¹Canada Research Chair in Stored-Grain Ecosystems, University of    Manitoba, Winnipeg, MB, Canada R3T 2N2

²Department of Biosystems Engineering, University of Manitoba, Winnipeg, MB, Canada R3T 5V6

 

 

Abstract

Purpose of the review: This article reviews different machine vision technologies available and outlines the       potential for real-time application in the postharvest industry. 

Main findings: Machine vision technologies determine the external and internal characteristics of agricultural    products by measuring reflectance, transmittance, density differences, molecular properties in a magnetic field, and infrared and near-infrared radiations.  The visible light system measuring the reflectance properties is the most widely adopted technology in the industry followed by the X-ray systems.  The near-infrared and infrared technologies have a good potential for a wide variety of applications. The X-ray computed tomography and magnetic resonance imaging techniques are good research tools and have limited real-time applications in the near future. 

Directions for future research:  Integration of one or more machine vision technologies such as in multispectral imaging has a good potential to provide solutions for most problems in the postharvest industry.      

 

Keywords: Postharvest loss; prevention; machine vision systems; fruits; vegetables; grain

 

 

Stewart Postharvest Review 2005, 2:2

Published online 01 August 2005

doi: 10.2212/spr.2005.2.2