Authors: Jayas, D.S.; Karunakaran, C.

Source: Stewart Postharvest Review, Volume 1, Number 2, August 2005 , pp. 1-9(9)

Publisher: Stewart Postharvest Solutions

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

Document Type: Research article

Publication date: 2005-08-01

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