EXTRACTION OF THE MOST EFFECTIVE WAVELENGTHS OF EGG SPECTRA USING GENETIC ALGORITHM AND THEIR CLASSIFICATION USING REGRESSION EQUATIONS

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ABDANAN SAMAN; MINAEI SAEID; MOHAJERANI EZEDDIN; KARIMI TORSHIZI MOHAMMAD AMIR

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Journal: Iranian Journal of Biosystems Engineering Year:2015 | Volume:46 | Issue:2 Page(s): 157-168

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Title

EXTRACTION OF THE MOST EFFECTIVE WAVELENGTHS OF EGG SPECTRA USING GENETIC ALGORITHM AND THEIR CLASSIFICATION USING REGRESSION EQUATIONS

Author(s)

ABDANAN SAMAN | MINAEI SAEID | MOHAJERANI EZEDDIN | KARIMI TORSHIZI MOHAMMAD AMIR | Issue Writer Certificate

Keywords

EGG QUALITYQ1

REGRESSION EQUATIONQ3

GENETIC ALGORITHMQ1

Abstract

The potential of Vis-IR (400–1100 nm) transmittance method was investigated to assess the internal quality (freshness) of intact chicken egg during storage at temperatures of 30±7oC and 25%±4 relative humidity. One hundred egg samples were used for assessing the freshness and spectral recordings during egg storage period (up to 30 days). Two correlation models were developed between either of Haugh Unit (HU) and Yolk Coefficient (YC) versus storage time with the respective correlation coefficients of 0.86, and 0.96. The equations revealed that (in those aforementioned conditions) the EGG QUALITY decreased dramatically. Furthermore, a method was developed to acquire the wavelength features based on Ggenetic Algorithm (GA). Which could solve the problem of the effective information extraction from the high-dimensional data matrix. REGRESSION EQUATIONs were developed through raw data and according to the wavelength features acquired, being respectively based upon different preprocessing (SNV, MSC, FFT, as well as 1st and 2nd derivations). The results finally indicated that REGRESSION EQUATIONs based on GA and preprocessing SNV as well as MSC could classify the eggs’ spectra in three groups while by 1st derivation preprocessing, each daily spectrum could allocate each in a separate group.

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APA: Copy

ABDANAN, SAMAN, MINAEI, SAEID, MOHAJERANI, EZEDDIN, & KARIMI TORSHIZI, MOHAMMAD AMIR. (2015). EXTRACTION OF THE MOST EFFECTIVE WAVELENGTHS OF EGG SPECTRA USING GENETIC ALGORITHM AND THEIR CLASSIFICATION USING REGRESSION EQUATIONS. IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES), 46(2), 157-168. SID. https://sid.ir/paper/144413/en

Vancouver: Copy

ABDANAN SAMAN, MINAEI SAEID, MOHAJERANI EZEDDIN, KARIMI TORSHIZI MOHAMMAD AMIR. EXTRACTION OF THE MOST EFFECTIVE WAVELENGTHS OF EGG SPECTRA USING GENETIC ALGORITHM AND THEIR CLASSIFICATION USING REGRESSION EQUATIONS. IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES)[Internet]. 2015;46(2):157-168. Available from: https://sid.ir/paper/144413/en

IEEE: Copy

SAMAN ABDANAN, SAEID MINAEI, EZEDDIN MOHAJERANI, and MOHAMMAD AMIR KARIMI TORSHIZI, “EXTRACTION OF THE MOST EFFECTIVE WAVELENGTHS OF EGG SPECTRA USING GENETIC ALGORITHM AND THEIR CLASSIFICATION USING REGRESSION EQUATIONS,” IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES), vol. 46, no. 2, pp. 157–168, 2015, [Online]. Available: https://sid.ir/paper/144413/en

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