Mango Leaf Disease Classification using Deep Learning: A Comprehensive Survey

Mango Leaf Disease Classification using Deep Learning: A Comprehensive Survey | 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 Systematic Review Mango Leaf Disease Classification using Deep Learning: A Comprehensive Survey Rebika Rai, Arunita Das, Krishna Gopal Dhal, Buddhadev Sasmal, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6734226/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 Mango cultivation plays a pivotal role in the development and growth of a country, contributing significantly to its economy and agricultural sector. The cultivation of mangoes not only provides a valuable source of income for farmers but also boosts export opportunities, fostering economic stability. However, the impact of mango leaf diseases poses a serious threat to global mango production. Diseases like anthracnose, powdery mildew, sooty mould, and gall midge can lead to reduced yields, diminished fruit quality, and economic losses for farmers. The timely detection and management of these diseases are crucial for mitigating their adverse effects. Fortunately, advanced technology, especially deep learning, has shown up as an effective ally in the early detection of these diseases. Therefore, the aim of this study is to present an updated survey report on this topic. Agricultural Engineering Artificial Intelligence and Machine Learning Deep Learning Mango CNN Agriculture Plant Disease Leaf Disease Review 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. 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-6734226","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Systematic Review","associatedPublications":[],"authors":[{"id":461056258,"identity":"49e16255-02d0-4ff8-a939-a1ab1da48a68","order_by":0,"name":"Rebika Rai","email":"","orcid":"","institution":"Sikkim University","correspondingAuthor":false,"prefix":"","firstName":"Rebika","middleName":"","lastName":"Rai","suffix":""},{"id":461056259,"identity":"8b72fe9a-0cf2-44fd-92bc-c22963c8dd18","order_by":1,"name":"Arunita Das","email":"","orcid":"","institution":"Midnapore 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