IoT Applications and Protocols: An Air Quality Monitoring Example

Sokullu, Radosveta; Balcı, Abdullah; Yildiz, Onem

doi:10.1109/eeae49144.2020.9279091

Cited by 3 publications

(1 citation statement)

References 13 publications

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“…In view of the measurement needs of the concentration of dust particles PM 2.5 and harmful gases CO, the main factors of air pollution, and combined with the current research situation at home and abroad, the relevant test instruments developed by embedded system are the most mainstream product development direction at present. This paper designs a portable air environment detector based on MCU STM32, which can detect the air environment in Sanshui campus of Guangzhou College of Technology and Business in real time [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Design of campus air environment detection system based on sensor

Liu

Zhao

2023

International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022)

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The campus air environment directly affects the physical and mental health of teachers and students. In order to provide a quick and accurate way of monitoring campus air environment, this paper develop a real-time monitoring air environment detector based on Microcontroller Unit (MCU) STM32 and sensor. The monitoring system can detect dust particles PM2.5, harmful gas carbon monoxide (CO) concentration, temperature, humidity and illumination, display the real-time detected data on organic light-emitting diode (OLED) display screen, and transmit the data to WeChat applet for real-time viewing. The results show that the air environment detector designed in this paper can accurately detect the air environment in Sanshui campus of Guangzhou College of Technology and Business, providing effective protection for the healthy living environment of teachers and students.

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Section: Introductionmentioning

confidence: 99%

Design of campus air environment detection system based on sensor

Liu

Zhao

2023

International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022)

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Smart Farming Technologies: A Methodological Overview and Analysis

Chicaiza,

Paredes,

Sarzosa

et al. 2024

IEEE Access

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Smart Plant Watering System

Shreyas B,

Vasantkumar C J,

Soham Kudachi

et al. 2024

IJARSCT

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Through a methodical evaluation of the literature found in numerous digital repositories, this research offers a thorough analysis of smart agricultural solutions. The components and technology used in these systems are categorised methodologically into the following groups: sensors, actuators, gateways, power supply, networking, data storage, data processing, and information delivery. Using this data, we determine which gadgets and technologies are most frequently used in smart agricultural solutions and talk about how they are used in the suggested categories. By combining the data collected, we provide an understanding of the state of smart farming today along with suggestions for the choice of equipment and technology for each category. This study advances our knowledge of smart agricultural technology and helps stakeholders make well-informed choices about putting such solutions into practice.

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IoT Applications and Protocols: An Air Quality Monitoring Example

Cited by 3 publications

References 13 publications

Design of campus air environment detection system based on sensor

Design of campus air environment detection system based on sensor

Smart Farming Technologies: A Methodological Overview and Analysis

Smart Plant Watering System

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