Research of the Detection of Apple Sugar Conten Based on Machine Vision and near Infrared Spectroscopy

Abstract:

Article Preview

In this paper, use the basic principles of near infrared to detect the spectral characteristics of apple, as the research object of Fuji apple, and then establish the model of near infrared technology forecasting apple sugar content, to discover the sugar content in apple. The results show that near infrared transmission spectroscopy can be used as an accurate, reliable, nondestructive testing method, the test has obvious advantages for detecting indicators of Fuji apple sugar.

Info:

Periodical:

Advanced Materials Research (Volumes 314-316)

Edited by:

Jian Gao

Pages:

1823-1828

DOI:

10.4028/www.scientific.net/AMR.314-316.1823

Citation:

N. T. Fu et al., "Research of the Detection of Apple Sugar Conten Based on Machine Vision and near Infrared Spectroscopy", Advanced Materials Research, Vols. 314-316, pp. 1823-1828, 2011

Online since:

August 2011

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.