Fuzzy Sensory Quality Certification in Intensive Organic Beekeeping
The current paper presents a fuzzy sensory quality certification of organic mint honey as a component of the strategy to promote intensive beekeeping. This sensory analysis is based on fuzzy logic that allows the processing of data represented by linguistic terms. For the development of the fuzzy se...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-07-01
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| Series: | Agriculture |
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| Online Access: | https://www.mdpi.com/2077-0472/11/7/644 |
| _version_ | 1797527829607350272 |
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| author | Florin Marian Buhociu Constanta Laura Augustin (Zugravu) Maria Magdalena Turek Rahoveanu Adrian Turek Rahoveanu Gheorghe Adrian Zugravu |
| author_facet | Florin Marian Buhociu Constanta Laura Augustin (Zugravu) Maria Magdalena Turek Rahoveanu Adrian Turek Rahoveanu Gheorghe Adrian Zugravu |
| author_sort | Florin Marian Buhociu |
| collection | DOAJ |
| description | The current paper presents a fuzzy sensory quality certification of organic mint honey as a component of the strategy to promote intensive beekeeping. This sensory analysis is based on fuzzy logic that allows the processing of data represented by linguistic terms. For the development of the fuzzy sensory analysis model of bee honey, we develop a MATLAB application, with the help of which we modeled the sensory perceptions in relation to the main quality characteristics of mint honey in relation to the other varieties of honey. The sensory quality index of each honey assortment is obtained by converting qualitative assessments through linguistic terms into a set of three numerical values on a sensory scale of assessment of results with five linguistic values: unsatisfactory, satisfactory, average, good, excellent. Indices of fuzzy sensory quality associated with honey varieties are certified using a blockchain model that is an information technology that offers the opportunity to develop local markets for organic bee products. |
| first_indexed | 2024-03-10T09:49:22Z |
| format | Article |
| id | doaj.art-e5fa81660ada4c1ea518b4b96b7b867d |
| institution | Directory Open Access Journal |
| issn | 2077-0472 |
| language | English |
| last_indexed | 2024-03-10T09:49:22Z |
| publishDate | 2021-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agriculture |
| spelling | doaj.art-e5fa81660ada4c1ea518b4b96b7b867d2023-11-22T02:56:55ZengMDPI AGAgriculture2077-04722021-07-0111764410.3390/agriculture11070644Fuzzy Sensory Quality Certification in Intensive Organic BeekeepingFlorin Marian Buhociu0Constanta Laura Augustin (Zugravu)1Maria Magdalena Turek Rahoveanu2Adrian Turek Rahoveanu3Gheorghe Adrian Zugravu4Department of Engineering and Management in Agriculture and Rural Development, Doctoral School of Fundamental Sciences and Engineering, “Dunarea de Jos” University of Galaţi, 800008 Galaţi, RomaniaDepartment of Engineering and Management in Agriculture and Rural Development, Doctoral School of Fundamental Sciences and Engineering, “Dunarea de Jos” University of Galaţi, 800008 Galaţi, RomaniaDepartment of Engineering and Management in Agriculture and Rural Development, Doctoral School of Fundamental Sciences and Engineering, “Dunarea de Jos” University of Galaţi, 800008 Galaţi, RomaniaManagement and Marketing Department, Faculty of Management, Economic Engineering in Agriculture and Rural Development, University of Agricultural Sciences and Veterinary Medicine of Bucharest, 11464 Bucureşti, RomaniaDepartment of Engineering and Management in Agriculture and Rural Development, Doctoral School of Fundamental Sciences and Engineering, “Dunarea de Jos” University of Galaţi, 800008 Galaţi, RomaniaThe current paper presents a fuzzy sensory quality certification of organic mint honey as a component of the strategy to promote intensive beekeeping. This sensory analysis is based on fuzzy logic that allows the processing of data represented by linguistic terms. For the development of the fuzzy sensory analysis model of bee honey, we develop a MATLAB application, with the help of which we modeled the sensory perceptions in relation to the main quality characteristics of mint honey in relation to the other varieties of honey. The sensory quality index of each honey assortment is obtained by converting qualitative assessments through linguistic terms into a set of three numerical values on a sensory scale of assessment of results with five linguistic values: unsatisfactory, satisfactory, average, good, excellent. Indices of fuzzy sensory quality associated with honey varieties are certified using a blockchain model that is an information technology that offers the opportunity to develop local markets for organic bee products.https://www.mdpi.com/2077-0472/11/7/644green businessfuzzy green certificationblockchain model |
| spellingShingle | Florin Marian Buhociu Constanta Laura Augustin (Zugravu) Maria Magdalena Turek Rahoveanu Adrian Turek Rahoveanu Gheorghe Adrian Zugravu Fuzzy Sensory Quality Certification in Intensive Organic Beekeeping Agriculture green business fuzzy green certification blockchain model |
| title | Fuzzy Sensory Quality Certification in Intensive Organic Beekeeping |
| title_full | Fuzzy Sensory Quality Certification in Intensive Organic Beekeeping |
| title_fullStr | Fuzzy Sensory Quality Certification in Intensive Organic Beekeeping |
| title_full_unstemmed | Fuzzy Sensory Quality Certification in Intensive Organic Beekeeping |
| title_short | Fuzzy Sensory Quality Certification in Intensive Organic Beekeeping |
| title_sort | fuzzy sensory quality certification in intensive organic beekeeping |
| topic | green business fuzzy green certification blockchain model |
| url | https://www.mdpi.com/2077-0472/11/7/644 |
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