AstroPlant Sentinel: Next-Gen Space AgricultureMonitoring and ADS

AstroPlant Sentinel: Next-Gen Space AgricultureMonitoring and ADS | 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 AstroPlant Sentinel: Next-Gen Space AgricultureMonitoring and ADS Rajdeep Das, Vaishnavi Sharma, Priyanka Kumari This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4239613/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 With the expanding role of humanity in outer space, sustainable food production becomes crucial. The success of space farming is determined as much by thecultivation of crops as by the rigorous monitoring and control of environmentalfactors. In this undertaking, we are pleased to offer you AstroPlant Sentinel, acombination of IoT technology with ADS custom-made for space farming. Ourresearch stresses the need for real-time environmental monitoring within spaceshuttles, where any deviations from environmental conditions may lead to plantillness and drop in crop yield. To address this challenge, we designed a miniature IoT environment equipped with three key sensors: Soil Moisture Sensor,Sensor for Temperature and Humidity, and Air Quality Sensor. Through intensive experiments and sensitivity analysis, we discover what are the thresholdsof these factors that are suitable for plant growth in space. However, recognizing the inherent variability and occasional aberrations in environmental data,we delve into the development and evaluation of three distinct machine learningmodels for anomaly detection: One-Class Support Vector Machines (OCSVM),Isolation Forest, and Density-Based Spatial Clustering of Applications with Noise(DBSCAN). Essentially, our results prove that DBSCAN outperforms other techniques in finding out the anomalies in fluctuating data. Lastly, our methodologyfor data visualization using a Software as a Service (SaaS) cloud platform isthoroughly detailed, which improves interpretability and enables informed decision making. This paper identifies the synergy between IoT-based monitoring and advanced anomaly detection, which is instrumental in enhancing both therobustness and efficacy of space agriculture attempts. Space Agriculture Machine Learning Anomaly Detection System Internet of Things 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-4239613","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":289543526,"identity":"7ba82030-e758-4dfa-a380-0317b85e242a","order_by":0,"name":"Rajdeep Das","email":"data:image/png;base64,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","orcid":"","institution":"Maulana Abul Kalam Azad University of Technology, West Bengal","correspondingAuthor":true,"prefix":"","firstName":"Rajdeep","middleName":"","lastName":"Das","suffix":""},{"id":289543527,"identity":"7bae5c76-1bd2-4287-a57d-37b09550410f","order_by":1,"name":"Vaishnavi Sharma","email":"","orcid":"","institution":"Maulana Abul Kalam Azad University of Technology, West Bengal","correspondingAuthor":false,"prefix":"","firstName":"Vaishnavi","middleName":"","lastName":"Sharma","suffix":""},{"id":289543528,"identity":"791cfad2-8b88-4c7c-afae-0a1747e0b7ab","order_by":2,"name":"Priyanka Kumari","email":"","orcid":"","institution":"Maulana Abul Kalam Azad University of Technology, West Bengal","correspondingAuthor":false,"prefix":"","firstName":"Priyanka","middleName":"","lastName":"Kumari","suffix":""}],"badges":[],"createdAt":"2024-04-09 04:29:25","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4239613/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4239613/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":54649821,"identity":"64ae9dd5-ed47-4e47-8b8f-ae4278e2cf6f","added_by":"auto","created_at":"2024-04-14 14:17:49","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2161311,"visible":true,"origin":"","legend":"","description":"","filename":"AstroPlantSentinel.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4239613/v1_covered_f9334cd7-652f-46c5-ada3-71994792ae9c.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"AstroPlant Sentinel: Next-Gen Space AgricultureMonitoring and ADS","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":"Space Agriculture, Machine Learning, Anomaly Detection System, Internet of Things","lastPublishedDoi":"10.21203/rs.3.rs-4239613/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4239613/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"With the expanding role of humanity in outer space, sustainable food production becomes crucial. 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