Intelligent Irrigation System Based on Humidity and Temperature Predictions for Cocoa Crops in Piedecuesta Santander

Intelligent Irrigation System Based on Humidity and Temperature Predictions for Cocoa Crops in Piedecuesta Santander | 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 Intelligent Irrigation System Based on Humidity and Temperature Predictions for Cocoa Crops in Piedecuesta Santander Rocio Cazes Ortega, Aldo Pardo García, Luis Guillermo Hernández Rojas, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4535390/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 Insufficient water, below 70%, limits cocoa growth, reduces production and affects quality due to water stress. On the other hand, excess moisture, above 85%, obstructs air channels in the soil and causes root rot, reducing nutrient absorption and crop yield. These unfavorable water conditions negatively impact both cocoa quantity and quality. Accurate irrigation management, staying within an optimal range of 70-85%, is essential to maximize cocoa production and quality. The project proposes a smart irrigation system for cocoa using Edge Impulse and artificial intelligence to analyze air temperature and humidity, as well as predict rainfall with cloud data. Sensors measure soil moisture in real time near each plant. The system compares the rain prediction with soil moisture, triggering drip irrigation only when moisture is predicted to be lacking and rain is not expected. This integration of Edge Impulse improves efficiency and provides high-performance real-time data analysis. A smart irrigation system was implemented, combining data from DTH11 sensors and hygrometer with Edge Impulse, and the algorithm was transferred to an Arduino Uno to control the drip irrigation motor pump in real time. Irrigation is activated only under optimal conditions, considering air and soil moisture. This efficient approach reduces water consumption and optimizes the energy used in irrigation. Integration with Raspberry Pi and Firebase for remote control establishes a scalable and sustainable model for precision agriculture, highlighting the effectiveness of Edge Impulse in modern agricultural resource management. Automated irrigation artificial intelligence cocoa neural networks humidity and temperature sensors 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-4535390","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":314363273,"identity":"5adc225c-928b-41b6-a80c-4d7e6a5053ae","order_by":0,"name":"Rocio Cazes Ortega","email":"data:image/png;base64,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","orcid":"","institution":"University of Pamplona","correspondingAuthor":true,"prefix":"","firstName":"Rocio","middleName":"Cazes","lastName":"Ortega","suffix":""},{"id":314363274,"identity":"383e6ea7-ea50-44ae-b992-e5a10d4733e4","order_by":1,"name":"Aldo Pardo García","email":"","orcid":"","institution":"University of Pamplona","correspondingAuthor":false,"prefix":"","firstName":"Aldo","middleName":"Pardo","lastName":"García","suffix":""},{"id":314363275,"identity":"999987d4-3ead-471c-955d-9dc225456173","order_by":2,"name":"Luis Guillermo Hernández Rojas","email":"","orcid":"","institution":"Monterrey Institute of Technology and Higher Education","correspondingAuthor":false,"prefix":"","firstName":"Luis","middleName":"Guillermo Hernández","lastName":"Rojas","suffix":""},{"id":314363276,"identity":"a2560873-139a-423f-bf21-00314c10b57c","order_by":3,"name":"Jorge Saul Fandiño Pelayo","email":"","orcid":"","institution":"Autonomous University of Bucaramanga","correspondingAuthor":false,"prefix":"","firstName":"Jorge","middleName":"Saul Fandiño","lastName":"Pelayo","suffix":""}],"badges":[],"createdAt":"2024-06-05 16:14:09","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4535390/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4535390/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":76231026,"identity":"d703da85-8804-41f4-8bd7-5e164f29caf3","added_by":"auto","created_at":"2025-02-13 18:16:43","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":766511,"visible":true,"origin":"","legend":"","description":"","filename":"INTELLIGENTIRRIGATIONSYSTEMBASEDONHUMIDITYANDTEMPERATUREPREDICTIONSFORCOCOACROPSINPIEDECUESTASANTANDER.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4535390/v1_covered_3b67364b-142f-4b52-9e99-eb689aa8686d.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"\u003cp\u003eIntelligent Irrigation System Based on Humidity and Temperature Predictions for Cocoa Crops in Piedecuesta Santander\u003c/p\u003e","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":"Automated irrigation, artificial intelligence, cocoa, neural networks, humidity and temperature sensors","lastPublishedDoi":"10.21203/rs.3.rs-4535390/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4535390/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Insufficient water, below 70%, limits cocoa growth, reduces production and affects quality due to water stress. On the other hand, excess moisture, above 85%, obstructs air channels in the soil and causes root rot, reducing nutrient absorption and crop yield. These unfavorable water conditions negatively impact both cocoa quantity and quality. Accurate irrigation management, staying within an optimal range of 70-85%, is essential to maximize cocoa production and quality. The project proposes a smart irrigation system for cocoa using Edge Impulse and artificial intelligence to analyze air temperature and humidity, as well as predict rainfall with cloud data. Sensors measure soil moisture in real time near each plant. The system compares the rain prediction with soil moisture, triggering drip irrigation only when moisture is predicted to be lacking and rain is not expected. 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Integration with Raspberry Pi and Firebase for remote control establishes a scalable and sustainable model for precision agriculture, highlighting the effectiveness of Edge Impulse in modern agricultural resource management.","manuscriptTitle":"Intelligent Irrigation System Based on Humidity and Temperature Predictions for Cocoa Crops in Piedecuesta Santander","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-06-19 06:18:19","doi":"10.21203/rs.3.rs-4535390/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","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}}],"origin":"","ownerIdentity":"0e8e6dc3-0e1b-40ea-b4d4-ebcfc135f612","owner":[],"postedDate":"June 19th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-02-13T18:08:37+00:00","versionOfRecord":[],"versionCreatedAt":"2024-06-19 06:18:19","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-4535390","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4535390","identity":"rs-4535390","version":["v1"]},"buildId":"_2-kVJe1T_tPrBINL-cwx","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}