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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Freira, D. & Coutinho, C. (2024). Wildfire Detection Based on IoT Technology. In 2024 8th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT). (pp. 1-6). Ankara, Turkiye: IEEE.
Exportar Referência (IEEE) 
D. Freira and C. E. Coutinho,  "Wildfire Detection Based on IoT Technology", in 2024 8th Int. Symp. on Multidisciplinary Studies and Innovative Technologies (ISMSIT), Ankara, Turkiye, IEEE, 2024, pp. 1-6
Exportar BibTeX 
@inproceedings{freira2024_1742351312663,
	author = "Freira, D. and Coutinho, C.",
	title = "Wildfire Detection Based on IoT Technology",
	booktitle = "2024 8th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)",
	year = "2024",
	editor = "",
	volume = "",
	number = "",
	series = "",
	doi = "10.1109/ISMSIT63511.2024.10757256",
	pages = "1-6",
	publisher = "IEEE",
	address = "Ankara, Turkiye",
	organization = ""
}
Exportar RIS 
TY  - CPAPER
TI  - Wildfire Detection Based on IoT Technology
T2  - 2024 8th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)
AU  - Freira, D.
AU  - Coutinho, C.
PY  - 2024
SP  - 1-6
DO  - 10.1109/ISMSIT63511.2024.10757256
CY  - Ankara, Turkiye
AB  - Wildfires are a global concern due to their increasing severity and frequency, resulting in economic, environmental, and human losses. These events primarily affect rural areas with high organic matter accumulation and inadequate surveillance. Traditional fire detection methods rely on sensors that detect heat, smoke particles, specific gases, and radiative emissions. Internet of Things (IoT) technology offers a promising solution for remote wildfire detection by providing long-lasting, low-power sensors that operate autonomously. Despite challenges in ensuring connectivity in remote areas, technologies like LoRaWAN enable energy-efficient, long-range communication at a low cost. By leveraging IoT and LoRaWAN technologies, a wildfire monitoring system can be developed to provide real-time surveillance and early warnings to authorities, improving response time capabilities. This paper aims to conceptualize, design, and develop a cost-effective, energyefficient IoT-based system for early wildfire detection.
ER  -