2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA) 2018
DOI: 10.1109/icassda.2018.8477594
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Development of ESP32-based Wi-Fi Electronic Nose System for Monitoring LPG Leakage at Gas Cylinder Refurbish Plant

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Cited by 12 publications
(5 citation statements)
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“…Measuring chemical substances using electronic noses is a promising methodology in forestry [ 12 , 21 ]. This system is already verified for monitoring odors from agricultural farms and dangerous gas leaks from industrial sites [ 41 , 42 , 43 , 44 ]. This research provides information on suitable electronic nose sensors for stress detection in the forest ecosystem.…”
Section: Discussionmentioning
confidence: 99%
“…Measuring chemical substances using electronic noses is a promising methodology in forestry [ 12 , 21 ]. This system is already verified for monitoring odors from agricultural farms and dangerous gas leaks from industrial sites [ 41 , 42 , 43 , 44 ]. This research provides information on suitable electronic nose sensors for stress detection in the forest ecosystem.…”
Section: Discussionmentioning
confidence: 99%
“…The ESP32 chip is widely used in numerous fields, according to recent research studies. A microcontroller may be used with a broad range of environmental monitoring sensors [12], whether it's to monitor air pollution or to directly monitor LPG leaks [13]. The article [14] shows how to utilise ESP32 as a control system to support wireless networks.…”
Section: Microcontroller -Esp32mentioning
confidence: 99%

Smart IoT Based Monitoring System for Fish Breeding

Danial Mohammad Ghazali,
Nur Safwati Mohd Nor,
Muhammad Afendi Mohaini
et al. 2023
ARAM
“…Ghosh et al built an ESP32 based smart IoT system for saline level monitoring in water using message queue telemetry transport (MQTT) [18]. Abdullah et al's project monitors gas leakages using ESP32 devices [19]. There are also smart surveillance systems and real-time photovoltaic monitors developed with ESP32 [20,21].…”
Section: Related Workmentioning
confidence: 99%