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Investigating the effect of moisture content on some properties of peanut by aid of digital image analysis

Paper ID Volume ID Publish Year Pages File Format Full-Text
19426 43064 2009 9 PDF Available
Title
Investigating the effect of moisture content on some properties of peanut by aid of digital image analysis
Abstract

This paper presents an exploratory investigation for the effect of altering moisture content on some morphological and mechanical features of peanut. Peanut seeds and pods were conditioned to moisture contents of 6.1, 9.3, 16.0, 28.4 and 34.9%. Image analysis technique was used to detect changes occurred in the main dimensions of conditioned seeds and pods. Four mechanical expressions (maximum stress ‘Ms’, deformation ‘D’, energy ‘E’, and toughness ‘T’) were extracted from stress–strain curve for all tested seeds. Also, friction coefficient ‘μ’ was determined to represent the fifth mechanical expression. When the moisture increased, the seeds expanded in all directions leading to increases of their geometrical features. On the other hand, the strength of seeds in terms of maximum stress ‘Ms’ decreased as moisture content increased. However, there was no significant difference of maximum stress values for seeds of the first three moisture levels (6.1, 9.3 and 16.0%) and also for seeds of the last two moisture levels (28.4 and 34.9%). The static coefficient of friction ‘μ’ increased from 0.491 to 0.252 MPa as the moisture content increased from 6.1 to 34.9%. To distinguish between seeds having different moisture values, stepwise discriminant analysis was conducted using mechanical features of seeds as discriminating criteria. Stepwise discriminant analysis is used to determine which expressions (Ms, D, E, T or μ) are responsible for discriminating between seeds of different moisture values. The analysis indicated that E and μ (together) had a highly discriminatory power with efficiency of 89.33%. When seeds rearranged into only three classes of moisture contents (low, middle and high), and repeating discriminant analysis using only these two expressions (E and μ), the discrimination efficiency was 100%.

Keywords
Peanut; Image analysis; Mechanical properties; Classification; Moisture content
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Publisher
Database: Elsevier - ScienceDirect
Journal: Food and Bioproducts Processing - Volume 87, Issue 4, December 2009, Pages 273–281
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us