A statistical approach of identifying indexes crucial to characterizing Chinese yams in terms of shape

Keywords

Bayesian model, Chinese yam, Shape estimation and characterization

Abstract

We propose a statistical approach with which to identify the indexes crucial to classifying Chinese yams by shape. The proposed approach comprises two steps. The first step is to estimate the diameters indicating the shapes of yams along their length, and the second step is to characterize the shapes of sample yams employing principal component analysis and correlation analysis. It is found that the ratio of the weight to length of yams can be used as a crucial index for the purpose of classification of yams.

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Koki Kyo
AU  - Mitsuru Hachiya
PY  - 2014/01
DA  - 2014/01
TI  - A statistical approach of identifying indexes crucial to characterizing Chinese yams in terms of shape
BT  - Proceedings of the 2013 International Conference on Advances in Intelligent Systems in Bioinformatics
PB  - Atlantis Press
SP  - 19
EP  - 24
SN  - 1951-6851
UR  - https://www.atlantis-press.com/article/11352
ID  - Kyo2014/01
ER  -