Towards Sustainable Monitoring: A LoRa-Based Chatbot for Climate Condition Adaptation | 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 Towards Sustainable Monitoring: A LoRa-Based Chatbot for Climate Condition Adaptation Karthika RN, Karthi Govindharaju, Aaron Dominic Franklin, Vasanthan S R This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5734879/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 The escalating impacts of climate change highlight the urgent need for effective environmental monitoring and mitigation systems. This paper presents a novel system designed using the ATMEGA328 microcontroller, integrated with a suite of sensors to monitor key environmental parameters. The system employs the LM35 sensor for temperature measurement, the DHT11 sensor for humidity detection, the MQ2 sensor for air quality assessment, and a rain drop sensor for precipitation monitoring. The collected sensor data are processed by the microcontroller and transmitted via a LoRa module using the Serial Peripheral Interface (SPI) for long-range, low-power communication. A security alarm module is incorporated to provide immediate on-site alerts in critical situations. The transmitted data are sent to a cloud server for storage, processing, and analytics, enabling comprehensive insights into environmental conditions. An interactive chatbot linked to the system delivers real-time feedback to users, facilitating informed decision-making for environmental management and climate adaptation strategies. The low-power, cost-effective, and long-range capabilities of LoRa technology make this system particularly suitable for deployment in remote and resource-constrained regions. The proposed architecture is scalable and can be adapted for diverse applications, including disaster management, urban planning, and agricultural monitoring. This innovative approach represents a significant step toward the development of smart, responsive, and distributed climate monitoring technologies, addressing the pressing need for proactive measures to enhance climate resilience in an era of rapid environmental change. Scientific Communication Electronic Materials and Devices Artificial Intelligence and Machine Learning environmental monitoring lora technology climate adaptation IoT-based monitoring proactive climate resilience 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. 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