Fuzzy Quality Certification of Wheat

This paper presents a fuzzy quality certification of wheat. This analysis is based on the fuzzy analysis model of wheat. We developed a Matlab application with the help of which we modeled the perceptions in relation to the main quality physical and chemical characteristics of wheat obtaining a qual...

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Published in:Agriculture (Basel) 2022-10, Vol.12 (10), p.1640
Main Authors: Simionescu, Cristian Silviu, Plenovici, Ciprian Petrisor, Augustin, Constanta Laura, Rahoveanu, Maria Magdalena Turek, Rahoveanu, Adrian Turek, Zugravu, Gheorghe Adrian
Format: Article
Language:English
Subjects:
Algorithms
Certification
Food quality
Food safety
Fuzzy logic
fuzzy quality certification model
Fuzzy sets
Grain
Laboratories
Quality control
Quality standards
Wheat
wheat quality
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cited_by cdi_FETCH-LOGICAL-c357t-1062f161a7942cd3fff0f857c408a814a1f17feb84c0552002050fcc9dcc96423
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container_title Agriculture (Basel)
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creator Simionescu, Cristian Silviu
Plenovici, Ciprian Petrisor
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description This paper presents a fuzzy quality certification of wheat. This analysis is based on the fuzzy analysis model of wheat. We developed a Matlab application with the help of which we modeled the perceptions in relation to the main quality physical and chemical characteristics of wheat obtaining a quality index of wheat lots. The algorithm presented in this article allows for obtaining and using the global quality index, generating applicability not only to the commercial sphere as a quality reference and price setting, but also a measure of appreciation of processing opportunities. Indices of fuzzy quality associated with wheat lots using a fuzzy model offer the opportunity to develop local markets through quality certification.
doi_str_mv 10.3390/agriculture12101640
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subjects Algorithms
Certification
Food quality
Food safety
Fuzzy logic
fuzzy quality certification model
Fuzzy sets
Grain
Laboratories
Quality control
Quality standards
Wheat
wheat quality
title Fuzzy Quality Certification of Wheat
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