Quality evaluation of plant products
Issue Date
1-2015
Abstract
Hyperspectral imaging or imaging spectrometry combines the strengths of computer vision technology with optical spectroscopy. It is primarily suited for measurement of parameters that vary spatially both at the external surface of samples and internally within the samples. The parameters may be physical features such as incipient bruises or surface contamination, or chemical constituents such as sugar and acidity. While the acquisition of images generally follows the procedures of machine vision, adding a spectral dimension would require the rigor of multivariate statistics, also known as chemometrics, to find functional relationships between the measured values and target parameters. Its application to agriculture, particularly to post-harvest processing, has recently been explored by university research laboratories in order to develop new techniques for non-destructive measurement of quality.
Source or Periodical Title
Hyperspectral Imaging Technology in Food and Agriculture
Page
227-249
Document Type
Book Chapter
Language
English
Subject
Linear Discriminant Analysis; Sweet Potato; Hyperspectral Imaging; Stepwise Multiple Regression; Soluble Solid Content
Recommended Citation
Tallada, J.G., Bato, P.M., Shrestha, B.P., Kobayashi, T., Nagata, M. (2015). Quality Evaluation of Plant Products. IN: Hyperspectral Imaging Technology in Food and Agriculture, pp. 227-247. doi:10.1007/978-1-4939-2836-1_9.
Identifier
doi:10.1007/978-1-4939-2836-1_9.
Digital Copy
yes