Machine Learning Applied to Near-Infrared Spectra for Chicken Meat Classification
المؤلفون المشاركون
Barbon, Sylvio
Costa Barbon, Ana Paula Ayub da
Mantovani, Rafael Gomes
Barbin, Douglas Fernandes
المصدر
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-08-07
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
Identification of chicken quality parameters is often inconsistent, time-consuming, and laborious.
Near-infrared (NIR) spectroscopy has been used as a powerful tool for food quality assessment.
However, the near-infrared (NIR) spectra comprise a large number of redundant information.
Determining wavelengths relevance and selecting subsets for classification and prediction models are mandatory for the development of multispectral systems.
A combination of both attribute and wavelength selection for NIR spectral information of chicken meat samples was investigated.
Decision Trees and Decision Table predictors exploit these optimal wavelengths for classification tasks according to different quality grades of poultry meat.
The proposed methodology was conducted with a support vector machine algorithm (SVM) to compare the precision of the proposed model.
Experiments were performed on NIR spectral information (1050 wavelengths), colour (CIEL∗a∗b∗, chroma, and hue), water holding capacity (WHC), and pH of each sample analyzed.
Results show that the best method was the REPTree based on 12 wavelengths, allowing for classification of poultry samples according to quality grades with 77.2% precision.
The selected wavelengths could lead to potential simple multispectral acquisition devices.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Barbon, Sylvio& Costa Barbon, Ana Paula Ayub da& Mantovani, Rafael Gomes& Barbin, Douglas Fernandes. 2018. Machine Learning Applied to Near-Infrared Spectra for Chicken Meat Classification. Journal of Spectroscopy،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1202682
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Barbon, Sylvio…[et al.]. Machine Learning Applied to Near-Infrared Spectra for Chicken Meat Classification. Journal of Spectroscopy No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1202682
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Barbon, Sylvio& Costa Barbon, Ana Paula Ayub da& Mantovani, Rafael Gomes& Barbin, Douglas Fernandes. Machine Learning Applied to Near-Infrared Spectra for Chicken Meat Classification. Journal of Spectroscopy. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1202682
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1202682
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر