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...

Full description

Saved in:
Bibliographic Details
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
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:2077-0472
2077-0472
DOI:10.3390/agriculture12101640