Machine Vision System in postharvest technology
D.S. Jayas and C. Karunakaran
Stewart Postharvest Review, Volume 1, Number 2, August 2005, pp. 1-9(9)
2005
บทคัดย่อ
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.