Smart Farming Solutions for Durian Cultivation Using IoT and Chatbot Integration for Precision Agriculture

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Smart Farming Solutions for Durian Cultivation Using IoT and Chatbot Integration for Precision Agriculture | 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 Smart Farming Solutions for Durian Cultivation Using IoT and Chatbot Integration for Precision Agriculture Pattharaporn Thongnim, Phaitoon Srinil This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6828115/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 28 Oct, 2025 Read the published version in Discover Internet of Things → Version 1 posted 14 You are reading this latest preprint version Abstract This research aims to develop an chatbot as an agricultural assistant that integrates an Internet of Things (IoT) to control irrigation and monitor environmental conditions within farms. The chatbot serves as a communication intermediary between farmers and the IoT system offering precise irrigation control and consultation. It also supports production planning by integrating data from IoT sensors and government services such as weather reports and agricultural irrigation information. The study focused on a 9–10 year old durian orchard at the Royal Initiatives Project Chanthaburi Fruit Development Center in Chanthaburi Province, Thailand. The chatbot calculated daily water requirements using data from environmental sensors and provided irrigation recommendations based on each developmental stage of the durian fruit. Experimental results showed that durians produced with precise irrigation had no significant quality difference compared to traditional methods. However, following the chatbot's recommendations resulted in approximately 21.65% less water usage compared to traditional farming practices. This demonstrates the potential of data driven precision agriculture to enhance resource efficiency and reduce operational costs contributing to the advancement of modern farming practices. IoT sensor Durian Farming Precision Agriculture Water Management Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 28 Oct, 2025 Read the published version in Discover Internet of Things → Version 1 posted Editorial decision: Revision requested 22 Jul, 2025 Reviews received at journal 21 Jul, 2025 Reviewers agreed at journal 14 Jul, 2025 Reviews received at journal 13 Jul, 2025 Reviewers agreed at journal 13 Jul, 2025 Reviews received at journal 10 Jul, 2025 Reviewers agreed at journal 10 Jul, 2025 Reviewers agreed at journal 10 Jul, 2025 Reviewers agreed at journal 10 Jul, 2025 Reviewers agreed at journal 08 Jul, 2025 Reviewers invited by journal 08 Jul, 2025 Editor assigned by journal 09 Jun, 2025 Submission checks completed at journal 09 Jun, 2025 First submitted to journal 05 Jun, 2025 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. 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