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Title: :  GreenTech Urbanism: The Role of IoT and Machine Learning in Environmental Monitoring
PaperId: :  25306
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 6 2024
DUI:    16.0415/IJARIIE-25306
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Sowmya ShettyAlva’s Institute Of Engineering And Technology
Shravya S MAlva’s Institute Of Engineering And Technology
SharanyaAlva’s Institute Of Engineering And Technology
Sharanya RAlva’s Institute Of Engineering And Technology
Giridhar GowdaAlva’s Institute Of Engineering And Technology

Abstract

Computer Science and Engineering
Smart cities, IoT, environmental monitoring, and machine learning.
"GreenTech Urbanism: The Role of IoT and Machine Learning in Environmental Monitoring" investigates the transformational potential of IoT and machine learning technologies in urban environmental monitoring, focusing on their role in developing sustainable, responsive cities. With real-time data collection and prediction capabilities, IoT-enabled devices, sensors, and machine learning algorithms have enhanced environmental monitoring by offering accurate, timely insights into air quality, water quality, noise pollution, and other ecological variables. Despite these advances, significant hurdles remain, particularly in data security, scalability, and energy efficiency. The fast proliferation of IoT devices raises the potential of cyber attacks and data breaches, necessitating stronger security mechanisms and privacy safeguards. Furthermore, as cities develop, scalability becomes a concern, needing adaptable systems that can adapt to growing data volumes while maintaining efficiency. Energy consumption by IoT devices hampers attempts to create greener cities, emphasizing the importance of low-power designs and sustainable energy solutions. Recent advancements, like as edge computing and 5G, address these difficulties by increasing data processing rates and lowering latency, allowing for near-real-time reactions to environmental changes. However, these improvements highlight the importance of strong regulatory frameworks in ensuring sustainable urban growth by combining innovation with ethical data usage and environmental integrity. This article examines the present status of GreenTech urbanism, namely how IoT and machine learning contribute to a sustainable urban future, as well as the legislative, technological, and ethical issues required for these technologies' effective application.

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IJARIIE Sowmya Shetty, Shravya S M, Sharanya, Sharanya R, and Giridhar Gowda. "GreenTech Urbanism: The Role of IoT and Machine Learning in Environmental Monitoring" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 6 2024 Page 387-393
MLA Sowmya Shetty, Shravya S M, Sharanya, Sharanya R, and Giridhar Gowda. "GreenTech Urbanism: The Role of IoT and Machine Learning in Environmental Monitoring." International Journal Of Advance Research And Innovative Ideas In Education 10.6(2024) : 387-393.
APA Sowmya Shetty, Shravya S M, Sharanya, Sharanya R, & Giridhar Gowda. (2024). GreenTech Urbanism: The Role of IoT and Machine Learning in Environmental Monitoring. International Journal Of Advance Research And Innovative Ideas In Education, 10(6), 387-393.
Chicago Sowmya Shetty, Shravya S M, Sharanya, Sharanya R, and Giridhar Gowda. "GreenTech Urbanism: The Role of IoT and Machine Learning in Environmental Monitoring." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 6 (2024) : 387-393.
Oxford Sowmya Shetty, Shravya S M, Sharanya, Sharanya R, and Giridhar Gowda. 'GreenTech Urbanism: The Role of IoT and Machine Learning in Environmental Monitoring', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 6, 2024, p. 387-393. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/GreenTech_Urbanism__The_Role_of_IoT__and_Machine_Learning_in_Environmental__Monitoring_ijariie25306.pdf (Accessed : ).
Harvard Sowmya Shetty, Shravya S M, Sharanya, Sharanya R, and Giridhar Gowda. (2024) 'GreenTech Urbanism: The Role of IoT and Machine Learning in Environmental Monitoring', International Journal Of Advance Research And Innovative Ideas In Education, 10(6), pp. 387-393IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/GreenTech_Urbanism__The_Role_of_IoT__and_Machine_Learning_in_Environmental__Monitoring_ijariie25306.pdf (Accessed : )
IEEE Sowmya Shetty, Shravya S M, Sharanya, Sharanya R, and Giridhar Gowda, "GreenTech Urbanism: The Role of IoT and Machine Learning in Environmental Monitoring," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 6, pp. 387-393, Nov-Dec 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/GreenTech_Urbanism__The_Role_of_IoT__and_Machine_Learning_in_Environmental__Monitoring_ijariie25306.pdf [Accessed : ].
Turabian Sowmya Shetty, Shravya S M, Sharanya, Sharanya R, and Giridhar Gowda. "GreenTech Urbanism: The Role of IoT and Machine Learning in Environmental Monitoring." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 6 ().
Vancouver Sowmya Shetty, Shravya S M, Sharanya, Sharanya R, and Giridhar Gowda. GreenTech Urbanism: The Role of IoT and Machine Learning in Environmental Monitoring. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(6) : 387-393. Available from: https://ijariie.com/AdminUploadPdf/GreenTech_Urbanism__The_Role_of_IoT__and_Machine_Learning_in_Environmental__Monitoring_ijariie25306.pdf
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