Fujairah Honey Chain (FHC): A Blockchain Framework for Monitoring Honey Production

Fujairah Honey Chain (FHC): A Blockchain Framework for Monitoring Honey Production | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Fujairah Honey Chain (FHC): A Blockchain Framework for Monitoring Honey Production Khaled Almiani, Shaher Bano Mirza, Camille Zufferey, Khawla M. Alyammahi, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5303853/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Honey is globally recognized for its substantial nutritional impact and therapeutic properties. In addition to its health benefits, honey is commonly used as a natural sweetener in daily life. However, because of its high market value, honey is susceptible to manipulation and counterfeiting. For instance, honey may be mixed with corn syrup or other sweeteners to increase profit margins. Counterfeit honey negatively impacts consumer health and the honey market. The manipulation of honey poses challenges to the growth of beekeeping businesses. These issues highlight the importance of designing solutions to ensure the authenticity of traded honey. Accordingly, this paper presents a blockchain-based framework to monitor the honey trade supply chain and detect counterfeit honey products. The proposed framework incorporates an oracle component that ensures the accuracy and authenticity of the collected information or images regarding honey quality and origin. Consequently, consumers can access all honey quality variables and origin information using the framework. By associating honey batches with fungible and non-fungible tokens, the proposed framework closely tracks honey products in the trade supply chain. Several experiments were conducted to analyze the economic feasibility of the proposed framework, demonstrating that the cost of performing a trade is expected to be less than $1. Additionally, the results indicate shows that the oracle component achieves an average accuracy rate of 90% in detecting falsified sensor data, compared to the variability found in traditional audits, which can fluctuate depending on differing standards and certifying bodies. Theoretical Computer Science Honey supply chain the blockchain oracle problem smart contracts counterfeit detection Ethereum decentralized applications Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-5303853","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":368513710,"identity":"17bd8195-eb48-4956-a3c0-29fe60de4e30","order_by":0,"name":"Khaled Almiani","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA1UlEQVRIie3QsQqCQBjA8U8Cpw9cTwp7BSVwtFdRhKYewUGIdGu+x+gRjANbhNaLhGyp1UmapDuaGvJsa7jfdMP97/s4AE37QwQmKYQAaJHxifFObCpPoxPJ5WMTOz9s901SzxaXzaOBJAArV5RTjDIelnf069JLoYyBVMVw4oBMTIY+X4vFTHGdh4rEuomkZ7igMukLmF8bxWJETIkyhi4RiZEV8h+G2VRMiXYMCV95NNrF6FWKxcgpLs/Pji0tGjdt2wWOcywUYz6I9/GX+5qmadoXL5CiR6CQ3Wi8AAAAAElFTkSuQmCC","orcid":"","institution":"Higher Colleges of Technology, Fujairah, United Arab Emirates","correspondingAuthor":true,"prefix":"","firstName":"Khaled","middleName":"","lastName":"Almiani","suffix":""},{"id":368513711,"identity":"b8265e2a-3656-4ebb-83dd-e868e790cfd8","order_by":1,"name":"Shaher Bano Mirza","email":"","orcid":"","institution":"Fujairah Research Centre, Fujairah, United Arab Emirates","correspondingAuthor":false,"prefix":"","firstName":"Shaher","middleName":"Bano","lastName":"Mirza","suffix":""},{"id":368513712,"identity":"546474c1-8f3f-43b1-83a5-c0a0fa2f9f55","order_by":2,"name":"Camille Zufferey","email":"","orcid":"","institution":"Finswiss Research, Sydney, 2000, NSW, Austrlia","correspondingAuthor":false,"prefix":"","firstName":"Camille","middleName":"","lastName":"Zufferey","suffix":""},{"id":368513713,"identity":"ede362fa-66a8-41b3-b7d8-0af001f1d944","order_by":3,"name":"Khawla M. 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