Architecture, Issues and Challenges in Monitoring based on IoT for Smarter Environment

Singh, Akhilesh Kumar; Raj, Manish; Sharma, Vivek

doi:10.1109/iccmc48092.2020.iccmc-00029

Cited by 9 publications

(12 citation statements)

References 5 publications

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“…Concurrently, the primary causes of environmental infection are ties, urban populations, electricity, transportation, and rural improvements. Natural disasters, such as landslides, earthquakes, hurricanes, water surges, and tsunamis, are also causes of environmental aspects that amplify attacks [13]. Furthermore, global warming, seawater acidification, and biodiversity loss may have a far-reaching effect on the atmosphere.…”

Section: Itoringmentioning

confidence: 99%

“…Furthermore, noise is a significant complication in this case because it can be produced from various sources, including transportation, factories, concerts, and a variety of other causes. As a result, IoT sensors and networking could provide a solution to the acquisition issue [13,14].…”

Section: Soil Monitoringmentioning

confidence: 99%

“…Current approaches in low-power wireless network technology have created scientific constraints for developing various types of multifunctional miniature IoT sensors, such as chemical, visual, thermic, and vital, that can be attached to specific wireless sensor arrangements [13,14,21].…”

Section: Smart Iot For Environmental Monitoringmentioning

confidence: 99%

“…With recent advances in the science and technology sector, in particular, Artificial Intelligence (AI), machine learning, and the internet of things (IoT), Em has become a Smart Environmental Monitoring system (SEM) [5]. Technology has enabled Em procedures to track environmental impacts more precisely and optimize environmental pollution control with other undesirable effects [6].…”

Section: Introductionmentioning

confidence: 99%

“…Em is concerned with water contamination, air pollution, toxic radiation, weather changes, earthquakes, and so nt factors, some human and others natural, are responsible for pollution [2,3]. The rule of Em is to solve problems to create a stable community and a safe environment on the planet With recent advances in the science and particular, Artificial Intelligence (AI), machine learning, and the internet of things (IoT), Em has become a Smart Environmental Monitoring system (SEM) [5]. Technology has enabled Em procedures to track environmental impacts more precisely and nvironmental pollution control with other undesirable effects [6].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

IoT for Smart Environment Monitoring Based on Python: A Review

Haji

Sallow

2021

AJRCoS

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Air pollution, water pollution, and radiation pollution are significant environmental factors that need to be addressed. Proper monitoring is crucial with the goal that by preserving a healthy society, the planet can achieve sustainable development. With advancements in the internet of things (IoT) and the improvement of modern sensors, environmental monitoring has evolved into a smart environment monitoring (SEM) system in recent years. This article aims to have a critical overview of significant contributions and SEM research, which include monitoring the quality of air , water pollution, radiation pollution, and agricultural systems. The review is divided based on the objectives of applying SEM methods, analyzing each objective about the sensors used, machine learning, and classification methods. Moreover, the authors have thoroughly examined how advancements in sensor technology, the Internet of Things, and machine learning methods have made environmental monitoring into a truly smart monitoring system.

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Section: Itoringmentioning

confidence: 99%

Section: Soil Monitoringmentioning

confidence: 99%