Chicken Disease Detection in the Poultry utilizing Grey Wolf Optimized Deep Convolutional Neural Network

Chicken Disease Detection in the Poultry utilizing Grey Wolf Optimized Deep Convolutional Neural Network | 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 Short Report Chicken Disease Detection in the Poultry utilizing Grey Wolf Optimized Deep Convolutional Neural Network Vandana Bharti, Kuldeep Kumar Yogi This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4635600/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 Poultry production is essential worldwide due to its role in supplying meat and eggs, which are rich in protein and vital nutrients for human diets. quick spread of sickness among the chicken, which may be uncontrollable by humans, causes a significant loss in the poultry even if farmers can save money on it since it requires little in the way of resources to feed the birds. Recently many technologies have been developed to detect chicken disease, but the technologies faced certain issues such as increased time consumption, inefficient detection, and so on. To defeat the mentioned challenges, a proposed method named grey wolf optimized Deep Convolutional Neural Network (GWO-Deep CNN) is designed to enrich the performance of research by detecting the disease accurately and further helps veterinarians to diagnose the disease properly, which reduces the death rate among the chickens in the poultry. The Deep CNN is utilized effectively to detect the disease accurately and classify the detected disease. Performance metrics utilized to analyze the performance of the GWO-Deep CNN are accuracy, sensitivity, and specificity, which attain 0.952, 0.962, and 0.940 respectively. Poultry chicken disease Grey Wolf Optimization Deep Convolutional Neural Network Structural Descriptor Ranking Approach Full Text Additional Declarations No competing interests reported. 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. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-4635600","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Short Report","associatedPublications":[],"authors":[{"id":341974891,"identity":"9a5b977a-945e-4b0f-806e-7d0028e676b3","order_by":0,"name":"Vandana Bharti","email":"data:image/png;base64,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","orcid":"","institution":"Department of Computer Science, Banasthali Vidyapith, Banasthali, Rajasthan","correspondingAuthor":true,"prefix":"","firstName":"Vandana","middleName":"","lastName":"Bharti","suffix":""},{"id":341974892,"identity":"6a4415d9-ae70-449b-80d3-32e582a1532b","order_by":1,"name":"Kuldeep Kumar Yogi","email":"","orcid":"","institution":"Department of Computer Science, Banasthali Vidyapith, Banasthali, Rajasthan","correspondingAuthor":false,"prefix":"","firstName":"Kuldeep","middleName":"Kumar","lastName":"Yogi","suffix":""}],"badges":[],"createdAt":"2024-06-25 10:16:01","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4635600/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4635600/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":82068767,"identity":"48813e45-97b7-4b48-af41-6acd4b8417cf","added_by":"auto","created_at":"2025-05-06 12:56:50","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":693535,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4635600/v1_covered_01cd4b98-fd7a-436c-bab0-d6ec74e2d690.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Chicken Disease Detection in the Poultry utilizing Grey Wolf Optimized Deep Convolutional Neural Network","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Poultry chicken disease, Grey Wolf Optimization, Deep Convolutional Neural Network, Structural Descriptor, Ranking Approach","lastPublishedDoi":"10.21203/rs.3.rs-4635600/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4635600/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003ePoultry production is essential worldwide due to its role in supplying meat and eggs, which are rich in protein and vital nutrients for human diets. quick spread of sickness among the chicken, which may be uncontrollable by humans, causes a significant loss in the poultry even if farmers can save money on it since it requires little in the way of resources to feed the birds. 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