Paper Title:
Nondestructive Identification of Cherry-Tomato Varieties Based on Multi-Spectral Image Technology
  Abstract

Yunnan cherry-tomato and Xinjiang cherry-tomato were very similar in appearance. But they are different in taste and nutritive value. A nondestructive identification method of cherry-tomato variety based on multi-spectral image technology is proposed in this paper. Fifty Yunnan cherry-tomatoes and fifty Xinjiang cherry-tomatoes were selected, and photos were taken by Duncan MS3100 3CCD multi-spectral imager. Threshold based segmentation and mathematical morphology method were used to process the images. Nine characteristic variables were calculated to establish discriminant analysis model (DA) and least square-support vector machine model (LS-SVM). The prediction accuracy of discriminant analysis model was 72.5% and that of LS-SVM model was 80%. The results showed that LS-SVM model could identify Yunnan cherry-tomato and Xinjiang cherry-tomato well.

  Info
Periodical
Advanced Materials Research (Volumes 108-111)
Edited by
Yanwen Wu
Pages
262-267
DOI
10.4028/www.scientific.net/AMR.108-111.262
Citation
K. S. Yang, P. C. Nie, L. Feng, Y. He, S. S. Chen, "Nondestructive Identification of Cherry-Tomato Varieties Based on Multi-Spectral Image Technology", Advanced Materials Research, Vols. 108-111, pp. 262-267, 2010
Online since
May 2010
Export
Price
$35.00
Share

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

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

Authors: Zu Li Sun, Ming En Guo, Lian Sheng Wang, Jie Wang, Ting Jun Li
Abstract:In this paper, the author put forward a method of making Cherry tonic wine, which is made from cherry and aromatic plants such as safflower,...
2105
Authors: Yong Feng Qi, Hong Wei Yang, Yuan Lian Huo
Chapter 3: Data, Text, Sound, Image, Signal and Video Processing and Technologies
Abstract:In this paper, a novel method for face recognition, called two-dimensional weighted and locality preserved discriminant analysis (2D-WLPDA)...
418
Authors: Jian Jun Zhang, Ye Xin Song, Yong Qu
Chapter 5: Algorithms, Computation Methods and their Applications
Abstract:Time series analysis is advantageous since it offers insight into the underlying dynamics and forecasts system behavior. The construction of...
354