CLASSIFICATION OF DIFFERENT FLORAL ORIGINS OF HONEY SAMPLES USING A MACHINE OLFACTION SYSTEM

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HAJINEJAD MOHAMMAD; MOHTASEBI SEYED SAEID; GHASEMI VARNAMKHASTI MAHDI; AGHBASHLOO MORTEZA

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Journal: Iranian Journal of Biosystems Engineering Year:2016 | Volume:47 | Issue:3 Page(s): 415-423

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Title

CLASSIFICATION OF DIFFERENT FLORAL ORIGINS OF HONEY SAMPLES USING A MACHINE OLFACTION SYSTEM

Author(s)

HAJINEJAD MOHAMMAD | MOHTASEBI SEYED SAEID | GHASEMI VARNAMKHASTI MAHDI | AGHBASHLOO MORTEZA | Issue Writer Certificate

Keywords

PRINCIPAL COMPONENT ANALYSISQ1

LINEAR DISCRIMINANT ANALYSISQ1

ARTIFICIAL NEURAL NETWORKQ2

GAS SENSORSQ1

QUALITYQ2

Abstract

Honey is a delicious sweet viscous fluid, produced by bees through sucking of the nectar of flowers. Honey is in total a highly concentrated water-soluble compound of sugars which due to its containing of fermenting material, is helpful in food exchanges, and as an aid to digestion. It is also of a high order of standing among the foods. Flavor is one of the determinant parameters in honey for QUALITY distinction and classification. Gases that are involved in honey smell are resulted from flower’s pollen scents collected by bees. It is also dependent upon the processes in the bee’s body to convert pollen to honey. So the emitted smell by the honey depends on flowers varieties and can naturally be different. These factors led the authors to design an apparatus of olfactory system based on Metal Oxide Sensors (MOS) to distinct and classify different floral origins of honeys. Ten samples from each of the seven different floral origins of honey comprising a total of 70 samples (at the rate of 5 g in each sample) were placed in sterile petri dishes and then tested. Experiments were conducted in three stages: baseline correction, injection of sample gas odor and cleansing of the sensor. The fractional data preprocessing procedure was employed for normalization and to prevent over fitting, as well as reducing the input data. Principal Component Analyze (PCA), Linear Discriminant Analyze (LDA) and ARTIFICIAL NEURAL NETWORK (ANN) were methods to classify and analyze the extracted features obtained from the signals of the olfactory system apparatus. To classify the floral origin of the honey using the olfaction apparatus, the results indicated 97% of variance by PCA, as well as 87.3% and 88.5% accuracy classification by LDA and ANN, respectively. As a conclusion, it was found that the apparatus, namely the electronic nose could provide the proper information for the classification of different floral origin honeys.

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APA: Copy

HAJINEJAD, MOHAMMAD, MOHTASEBI, SEYED SAEID, GHASEMI VARNAMKHASTI, MAHDI, & AGHBASHLOO, MORTEZA. (2016). CLASSIFICATION OF DIFFERENT FLORAL ORIGINS OF HONEY SAMPLES USING A MACHINE OLFACTION SYSTEM. IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES), 47(3), 415-423. SID. https://sid.ir/paper/144346/en

Vancouver: Copy

HAJINEJAD MOHAMMAD, MOHTASEBI SEYED SAEID, GHASEMI VARNAMKHASTI MAHDI, AGHBASHLOO MORTEZA. CLASSIFICATION OF DIFFERENT FLORAL ORIGINS OF HONEY SAMPLES USING A MACHINE OLFACTION SYSTEM. IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES)[Internet]. 2016;47(3):415-423. Available from: https://sid.ir/paper/144346/en

IEEE: Copy

MOHAMMAD HAJINEJAD, SEYED SAEID MOHTASEBI, MAHDI GHASEMI VARNAMKHASTI, and MORTEZA AGHBASHLOO, “CLASSIFICATION OF DIFFERENT FLORAL ORIGINS OF HONEY SAMPLES USING A MACHINE OLFACTION SYSTEM,” IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES), vol. 47, no. 3, pp. 415–423, 2016, [Online]. Available: https://sid.ir/paper/144346/en

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