Integrated IoT and AI System for Soil Analysis and Crop Recommendation in Precision Farming

Integrated IoT and AI System for Soil Analysis and Crop Recommendation in Precision Farming | 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 Physical Sciences - Article Integrated IoT and AI System for Soil Analysis and Crop Recommendation in Precision Farming Abhinay jangam, Kalyani Gadupudi, harinadh palli, sampath ranga arava This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9096041/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 This project comes up with a low-cost precision farming system, involving the integration of IoT sensing and machine learning to provide real-time crop recommendations.The transmitted sensed data is sent to ThingSpeak cloud platform via the HTTP protocol to be processed and analyzed. The machine learning model that can be used to analyze the real time field data and suggest appropriate crops in the current soil and environmental conditions is an XGBoost-based machine learning model. The findings are delivered in the form of web dashboard and mobile app enabling farmers to make informed and timely decisions. The system illustrates the way the use of affordable smart farming can benefit the use of resources and productivity in the agricultural sector. Physical sciences/Engineering/Electrical and electronic engineering Physical sciences/Engineering/Mechanical engineering Precision agriculture Smart Farming Crop Recommendation Soil Analysis IoT Full Text Additional Declarations There is NO Competing Interest. 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. 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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-9096041","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Physical Sciences - Article","associatedPublications":[],"authors":[{"id":605083520,"identity":"d0ab3500-2eec-4a2d-97e4-352f2ed09039","order_by":0,"name":"Abhinay jangam","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABEUlEQVRIiWNgGAWjYBACxgYInWDADCYl6vnB3AKitRRYJEg2gLmEbYOq+VCRYHAAxMCjhbn97OEXP3Ps8szZeQ9+eGAgkWd8fnUikMEgzy92ALvDevLSLHu3JRdbNvMlSwD9Umx24+1mIIPBcObsBBx+yTEz4N3GnLjhMI8BSAvjthtnN4C0JBjcxqGl/42Z4d9t9SAtxj9AWjbPOLv5B14tM3KMH/NuOwzSYgayJXEDf+82/LbMeGPGLLvteLEBUIsFUIuxxA3ebSAGTr8Y9ucYf3y7rTrP4PwZ45s//tTJ8fef3XzzR4WNPL80Di0NDGwSqEISYJUSWBRDgDwwaj6gCvEfwKl6FIyCUTAKRiYAAFD0Y/NWU3OCAAAAAElFTkSuQmCC","orcid":"","institution":"velagapudi ramakrishna sidhartha engineering college","correspondingAuthor":true,"prefix":"","firstName":"Abhinay","middleName":"","lastName":"jangam","suffix":""},{"id":605083522,"identity":"c45e6409-b8b1-42ce-a545-41c66634951d","order_by":1,"name":"Kalyani Gadupudi","email":"","orcid":"","institution":"velagapudi ramakrishna sidhartha engineering college","correspondingAuthor":false,"prefix":"","firstName":"Kalyani","middleName":"","lastName":"Gadupudi","suffix":""},{"id":605083526,"identity":"0130f4b6-461f-4650-916c-963705a39074","order_by":2,"name":"harinadh palli","email":"","orcid":"","institution":"velagapudi ramakrishna sidhartha engineering college","correspondingAuthor":false,"prefix":"","firstName":"harinadh","middleName":"","lastName":"palli","suffix":""},{"id":605083527,"identity":"02d76aaf-3239-4570-9356-ee9de3af6ede","order_by":3,"name":"sampath ranga arava","email":"","orcid":"","institution":"velagapudi ramakrishna sidhartha engineering college","correspondingAuthor":false,"prefix":"","firstName":"sampath","middleName":"ranga","lastName":"arava","suffix":""}],"badges":[],"createdAt":"2026-03-11 15:14:37","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-9096041/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-9096041/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":104808856,"identity":"63983f70-d394-4b7e-9a3b-ee87319e797b","added_by":"auto","created_at":"2026-03-17 12:40:18","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":683273,"visible":true,"origin":"","legend":"Article File","description":"","filename":"springerpaper.pdf","url":"https://assets-eu.researchsquare.com/files/rs-9096041/v1_covered_52a952fd-7372-4c20-82a3-e893d39ffb50.pdf"}],"financialInterests":"There is \u003cb\u003eNO\u003c/b\u003e Competing Interest.","formattedTitle":"Integrated IoT and AI System for Soil Analysis and Crop Recommendation in Precision Farming","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"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":"Precision agriculture, Smart Farming, Crop Recommendation, Soil Analysis, IoT","lastPublishedDoi":"10.21203/rs.3.rs-9096041/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-9096041/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis project comes up with a low-cost precision farming system, involving the integration of IoT sensing and machine learning to provide real-time crop recommendations.The transmitted sensed data is sent to ThingSpeak cloud platform via the HTTP protocol to be processed and analyzed. 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