Publication:
Using Arduino Iot Modules As A Low Cost Environmental Research Monitoring System

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dc.citedby0
dc.contributor.authorMagableh M.en_US
dc.contributor.authorMarie Z.en_US
dc.contributor.authorMohamed R.R.en_US
dc.contributor.authorBin Ibrahim M.H.en_US
dc.contributor.authorJusoh J.A.en_US
dc.contributor.authorKumar R.en_US
dc.contributor.authorid37104648200en_US
dc.contributor.authorid58806772600en_US
dc.contributor.authorid56996859800en_US
dc.contributor.authorid58806632300en_US
dc.contributor.authorid55015235300en_US
dc.contributor.authorid57306853400en_US
dc.date.accessioned2024-10-14T03:20:22Z
dc.date.available2024-10-14T03:20:22Z
dc.date.issued2023
dc.description.abstractEnvironmental monitoring plays a crucial role in understanding the impact of human activities on our ecosystems. However, the cost and complexity of traditional monitoring systems often hinder widespread deployment, especially in resource-constrained regions. This research paper explores the feasibility and effectiveness of employing Arduino Internet of Things (IoT) modules as a low-cost alternative for environmental research monitoring. The study focuses on designing and implementing an Arduino-based environmental monitoring system capable of gathering real-time data on key environmental parameters, such as temperature, humidity, air quality, and soil moisture. The hardware setup comprises Arduino microcontrollers interfaced with a range of environmental sensors and connectivity modules for data transmission. To assess the system's reliability and accuracy, a series of field experiments were conducted in diverse environmental settings, including urban areas, agricultural zones, and natural habitats. The collected data was compared against measurements from conventional monitoring equipment to validate the Arduino-based system's performance. The research demonstrates that the Arduino IoT modules can effectively monitor and transmit environmental data with a reasonable level of accuracy and stability, making them suitable for various environmental research applications. The low-cost nature of Arduino components and the open-source ecosystem facilitate customization and scalability, enabling researchers and organizations to develop tailored monitoring solutions for specific environmental contexts. Additionally, the paper discusses the challenges and limitations encountered during the deployment of Arduino-based monitoring systems, including power constraints, sensor calibration, and data processing techniques. Furthermore, it explores potential avenues for improvement and optimization to enhance the system's capabilities and data accuracy. In conclusion, this research highlights the practicality and promise of using Arduino IoT modules as a low-cost environmental research monitoring system. By presenting a viable alternative to expensive and complex monitoring solutions, the study opens up opportunities for researchers, environmentalists, and policymakers to establish cost-effective monitoring networks and gather essential data for informed decision-making, ultimately contributing to more sustainable and eco-friendly practices. � 2023 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/CSET58993.2023.10346624
dc.identifier.scopus2-s2.0-85182024134
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85182024134&doi=10.1109%2fCSET58993.2023.10346624&partnerID=40&md5=1fcaec2cbd075ab9580e04da6858550c
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/34522
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2023 International Conference on Computer Science and Emerging Technologies, CSET 2023
dc.subjectArduino Microcontrollers
dc.subjectInternet of Things
dc.subjectIoT
dc.subjectLow-Cost Environmental
dc.subjectMonitoring System
dc.subjectAir quality
dc.subjectComplex networks
dc.subjectCost effectiveness
dc.subjectData handling
dc.subjectDecision making
dc.subjectEcosystems
dc.subjectElectric power transmission
dc.subjectMicrocontrollers
dc.subjectSoil moisture
dc.subjectArduino microcontroller
dc.subjectEnvironmental Monitoring
dc.subjectEnvironmental monitoring system
dc.subjectEnvironmental researches
dc.subjectHuman activities
dc.subjectLow-cost environmental
dc.subjectLow-costs
dc.subjectMonitoring system
dc.subjectReal-time data
dc.subjectResearch papers
dc.subjectInternet of things
dc.titleUsing Arduino Iot Modules As A Low Cost Environmental Research Monitoring Systemen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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