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Former Food Products Safety Evaluation: Computer Vision as an Innovative Approach for the Packaging Remnants Detection
المؤلفون المشاركون
Tretola, Marco
Ottoboni, Matteo
Di Rosa, Ambra Rita
Giromini, Carlotta
Fusi, Eleonora
Rebucci, Raffaella
Leone, Francesco
Dell’Orto, Vittorio
Chiofalo, Vincenzo
Pinotti, Luciano
المصدر
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-6، 6ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-06-12
دولة النشر
مصر
عدد الصفحات
6
الملخص EN
Former food products (FFPs) represent a way by which leftovers from the food industry (e.g., biscuits, bread, breakfast cereals, chocolate bars, pasta, savoury snacks, and sweets) are converted into ingredients for the feed industry, thereby keeping food losses in the food chain.
FFPs represent an alternative source of nutrients for animal feeding.
However, beyond their nutritional value, the use of FFPs in animal feeding implies also safety issues, such as those related to the presence of packaging remnants.
These contaminants might reside in FFP during food processing (e.g., collection, unpacking, mixing, grinding, and drying).
Nowadays, artificial senses are widely used for the detection of foreign material in food and all of them involve computer vision.
Computer vision technique provides detailed pixel-based characterizations of colours spectrum of food products, suitable for quality evaluation.
The application of computer vision for a rapid qualitative screening of FFP’s safety features, in particular for the detection of packaging remnants, has been recently tested.
This paper presents the basic principles, the advantages, and disadvantages of the computer vision method with an evaluation of its potential in the detection of packaging remnants in FFP.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Tretola, Marco& Ottoboni, Matteo& Di Rosa, Ambra Rita& Giromini, Carlotta& Fusi, Eleonora& Rebucci, Raffaella…[et al.]. 2017. Former Food Products Safety Evaluation: Computer Vision as an Innovative Approach for the Packaging Remnants Detection. Journal of Food Quality،Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1175707
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Tretola, Marco…[et al.]. Former Food Products Safety Evaluation: Computer Vision as an Innovative Approach for the Packaging Remnants Detection. Journal of Food Quality No. 2017 (2017), pp.1-6.
https://search.emarefa.net/detail/BIM-1175707
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Tretola, Marco& Ottoboni, Matteo& Di Rosa, Ambra Rita& Giromini, Carlotta& Fusi, Eleonora& Rebucci, Raffaella…[et al.]. Former Food Products Safety Evaluation: Computer Vision as an Innovative Approach for the Packaging Remnants Detection. Journal of Food Quality. 2017. Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1175707
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1175707
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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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
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