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Fuzzy Sensory Quality Certification in Intensive Organic Beekeeping

Author

Listed:
  • Florin Marian Buhociu

    (Department of Engineering and Management in Agriculture and Rural Development, Doctoral School of Fundamental Sciences and Engineering, “Dunarea de Jos” University of Galaţi, 800008 Galaţi, Romania)

  • Constanta Laura Augustin (Zugravu)

    (Department of Engineering and Management in Agriculture and Rural Development, Doctoral School of Fundamental Sciences and Engineering, “Dunarea de Jos” University of Galaţi, 800008 Galaţi, Romania)

  • Maria Magdalena Turek Rahoveanu

    (Department of Engineering and Management in Agriculture and Rural Development, Doctoral School of Fundamental Sciences and Engineering, “Dunarea de Jos” University of Galaţi, 800008 Galaţi, Romania)

  • Adrian Turek Rahoveanu

    (Management and Marketing Department, Faculty of Management, Economic Engineering in Agriculture and Rural Development, University of Agricultural Sciences and Veterinary Medicine of Bucharest, 11464 Bucureşti, Romania)

  • Gheorghe Adrian Zugravu

    (Department of Engineering and Management in Agriculture and Rural Development, Doctoral School of Fundamental Sciences and Engineering, “Dunarea de Jos” University of Galaţi, 800008 Galaţi, Romania)

Abstract

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.

Suggested Citation

  • Florin Marian Buhociu & Constanta Laura Augustin (Zugravu) & Maria Magdalena Turek Rahoveanu & Adrian Turek Rahoveanu & Gheorghe Adrian Zugravu, 2021. "Fuzzy Sensory Quality Certification in Intensive Organic Beekeeping," Agriculture, MDPI, vol. 11(7), pages 1-11, July.
    • Handle: RePEc:gam:jagris:v:11:y:2021:i:7:p:644-:d:591502
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    References listed on IDEAS

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    1. Deepak Prashar & Nishant Jha & Sudan Jha & Yongju Lee & Gyanendra Prasad Joshi, 2020. "Blockchain-Based Traceability and Visibility for Agricultural Products: A Decentralized Way of Ensuring Food Safety in India," Sustainability, MDPI, vol. 12(8), pages 1-20, April.
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    Cited by:

    1. Xiangzhen Peng & Xin Zhang & Xiaoyi Wang & Haisheng Li & Jiping Xu & Zhiyao Zhao, 2022. "Multi-Chain Collaboration-Based Information Management and Control for the Rice Supply Chain," Agriculture, MDPI, vol. 12(5), pages 1-26, May.

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