Low-cost IoT based weather monitoring system for smart community

Nikhilesh, K. Sai; Raaghavendra, Y. Harish; Soothanan, P.J. Madhu; Resmi, R.

doi:10.1109/icisc47916.2020.9171156

Cited by 24 publications

(4 citation statements)

References 10 publications

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“…This study presents a comprehensive exploration of a cost-effective Internet of Things (IoT)-based weather monitoring system tailored for intelligent communities, with the overarching objective of establishing a robust foundation for developing and deploying such systems within smart communities (Nikhilesh et al, 2020). This innovative system holds the potential to furnish invaluable weather data for improved weather forecasting and enhanced disaster management capabilities.…”

Section: Disaster Management and Preparednessmentioning

confidence: 99%

The Impact of IoT and Sensor Integration on Real-Time Weather Monitoring Systems: A Systematic Review

Selvam,

Al-Humairi

2023

Preprint

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The observation of weather and its impact on human life is undeniable. Weather observations are essential for various sectors, including agriculture, transportation, aviation, and disaster management. Therefore, the collection of data on weather variations is crucial. However, the transient nature of weather variations makes it difficult to collect accurate and real-time data. To overcome this challenge, researchers have developed smart real-time weather monitoring systems integrated with mobile applications. These systems utilize various frameworks, technologies, and techniques, including the Internet of Things (IoT), Arduino, machine learning algorithms, deep learning algorithms, and sensors that measure temperature, humidity, wind speed, and wind direction. These systems provide real-time data on weather conditions, enabling individuals to make informed decisions. The primary objective of this review paper is to critically examine and elaborate on multiple research studies that focus on integrating smart real-time weather monitoring systems with mobile applications. The aim is to understand the techniques, methodologies, and technologies employed in designing and developing such systems. One of the key findings of this review is that integrating smart real-time weather monitoring systems with mobile applications has significant potential to improve weather forecasting and monitoring. For instance, machine learning algorithms can analyze sensor data to identify patterns and accurately predict future weather conditions. Additionally, integrating cloud computing technology in these systems allows for secure data storage, making it accessible to validated individuals from anywhere. In conclusion, integrating smart real-time weather monitoring systems with mobile applications has enormous potential in improving weather forecasting and monitoring. Various frameworks, technologies, and techniques have enabled researchers to develop sophisticated systems that collect accurate and real-time data on weather conditions. These systems significantly affect various sectors, including agriculture, transportation, aviation, and disaster management.

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Section: Disaster Management and Preparednessmentioning

confidence: 99%

The Impact of IoT and Sensor Integration on Real-Time Weather Monitoring Systems: A Systematic Review

Selvam,

Al-Humairi

2023

Preprint

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“…In (7) , the authors developed a wireless sensor network based weather monitoring system to keep track of fire detection, earthquake detection, temperature, humidity and rainfall level. The weather readings are displayed in real-time with a provision to track the historical readings on an hourly or daily basis.…”

Section: Introductionmentioning

confidence: 99%

I-SOEWM: IoT Based Solar Energized Weather Monitoring System

Ramesh¹,

Vidhya²,

Bhuvaneswari³

et al. 2023

IJST

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Objectives: To develop an IoT (Internet of Things) based Solar Energized Weather Monitoring System (I-SOEWM) that incorporates efficient mechanism to receive real-time weather reports both locally and remotely. Methods: Improved localized weather monitoring system powered by a renewable solar energy has been developed to provide continuous real-time monitoring of parameters namely temperature, humidity, pressure, air quality, etc., The developed device is GPS-enabled to provide geo-localized data. The significance of the developed work is that the parameters measured are stored simultaneously on two cloud platforms namely Thingspeak and Adafruit, thereby ensuring reliability and security of the developed system. From the literatures, it is found that several works have been carried out that are closer to the developed research. However continuous monitoring is ensured in the developed work through Solar energy based renewable energy harvesting mechanism. Further, new parameters namely UV Index, Air Quality Index (AQI), and Dew Point are also monitored when compared to existing systems. Findings: Through the inclusion of additional parameters namely UV Index, AQI and Dew Point, the air quality, intensity of sun and the temperature at which air cannot hold water vapors are measured which lacks in the existing WMS. These parameters are vital for well-being of living organism. Novelty:The proposed system is solar-powered and incorporates real-time analysis of additional parameters. It has a long battery life (2.5 years for Li-ion) because the controller uses less power and an added solar panel is built into it, and it is capable of real-time data monitoring. (It also provides interfaces for mobile and web applications for user interaction.

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“…Data from the deployed system can be accessed through the internet by using a smartphone [3]. Low-cost loT-ba s ed weather monitoring system for smart community paper proposes a real-time weather monitoring systemdesigned for a smart home that displays weather parameters such as the intensity of rainfall, temperature, wind speed and light intensity obtained from the sensors to the cloud [6]. Anita et al proposed an internet of things (IOT) based smart irrigation system to identify the dampness in the soil and to control the watering of the crops automatically.…”

Section: Introductionmentioning

confidence: 99%

Solar Powered Soil And Weather Monitoring System Using Iot

KOTHAPALLI,

CHINNAM,

KODALI

et al. 2023

int. jour. eng. com. sci

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The proposed project is designed to monitor the environmental conditions such as Temperature, Humidity, Soil Moisture, Rain level and Light Intensity in order to monitor the conditions of agricultural farm land. Through this design the farmers can receive the informationin remote mode. The farmers can use this information as a reference to improve the agricultural productivity. When correct information is collected every day, the farmers can predict the problems and can take necessary precautions.

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Low-cost IoT based weather monitoring system for smart community

Cited by 24 publications

References 10 publications

The Impact of IoT and Sensor Integration on Real-Time Weather Monitoring Systems: A Systematic Review

The Impact of IoT and Sensor Integration on Real-Time Weather Monitoring Systems: A Systematic Review

I-SOEWM: IoT Based Solar Energized Weather Monitoring System

Solar Powered Soil And Weather Monitoring System Using Iot

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