Pattern Recognition of Near-Infrared Spectroscopy for Non-Destructive Discrimination of Oranges Based on Taste Index
Journal Title: Journal of Agricultural Machinery - Year 2015, Vol 5, Issue 1
Abstract
In recent years, application of near-infrared spectroscopy (NIR) as a non-destructive technique combined with chemometric methods has been widely noticed for quality assessment of food and agricultural products. In chemometric methods, quality analyses are important issues which could be related to pattern recognition. In this research, the feasibility of pattern recognition methods combined with reflectance NIR spectroscopy for non-destructive discrimination of oranges based on their tastes was investigated. To this end, both unsupervised and supervised pattern recognition techniques, hierarchical cluster analysis (HCA) and soft independent modeling of class analogies (SIMCA) were used for assessing the feasibility of variety discrimination and classification (according to their taste), respectively, based on the spectral information of 930-1650nm range. Qualitative analyses indicated that NIR spectra of orange varieties were correctly clustered using unsupervised pattern recognition of HCA. It was also concluded that supervised pattern recognition of SIMCA for NIR spectra of oranges provided excellent results of variety classification based on BrimA index at 5% significance level (classification accuracy of 98.57%). Moreover, wavelengths of 1047.5nm, 1502nm, and 1475nm contributed more than other wavelengths in discriminating two classes. Samples having the same BrimA index were also correctly classified with the high classification accuracy (95.45%) at 5% significance level. The discrimination power of wavelengths of 1475nm, 1583nm, and 1436.75nm were more than those for other wavelengths to achieve this classification. Therefore, reflectance NIR spectroscopy combined with pattern recognition methods can be utilized for determination of other attributes related to taste.
Authors and Affiliations
B. Jamshidi,S. Minaei,E. Mohajerani,H. Ghassemian,
Keywords
Related Articles
- EP ID EP717748
- DOI -
- Views 28
- Downloads 0
Design, Implementation and Evaluation of a Torque Transducer with Ability of Real-time Torque Monitoring
Torque, speed, and power as mechanical variables are associated with the functional performance of any rotating machinery. The real-time performance and the efficiency of a machine can be determined with on-line measurem...
Optimization of the Mixing in a Gas-lift Anaerobic Digester of Municipal Wastewater Sludge
This research aims to optimize the mixing process in gas-lift anaerobic digesters of municipal sewage sludge since mixing and maintaining uniform contact between methanogenic bacteria and nutrients is essential. Wastewat...
Effect of Farm Size on Energy Consumption and Input Costs of Peanut Production in Guilan Province of Iran
In this study, the energy and economic analysis of peanut production in Guilan province of Iran was studied. Data were collected from questionnaires of 75 farmers. The data were collected from three farm size categories...
Spectral Feature Selection from the Hyperspectral Dataset to Identify Pistachio Leaves Infected by Psylla
IntroductionPistachio production has been adversely affected by Psylla, which is a devastating insect. The primary goal of this study was to select sensitive spectral bands to distinguish pistachio leaves infected by Psy...
Optimization and Evaluation of Working Conditions of New Tillage Blade for Use in Tillage Tools
Introduction Due to problems such as water resources constraints, poor soil and soil organic matter, and the problems related conventional tillage, the attention paid to protective tillage equipment should be taken into...