Intelligent fire detection in agriculture using machine learning and embedded systems for risk prevention and improved sustainability

Abstract This research proposes the design of an autonomous fire detection system based on a Raspberry Pi 3 B+, combined with smoke and flame sensors, enabling real-time monitoring and increased reactivity to fire hazards. To improve detection accuracy and risk prediction, Machine Learning (ML) algo...

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Autors principals:	Abdennabi Morchid, Abdennacer Elbasri, Hassan Qjidaa, Rachid El Alami, Badre Bossoufi, Salah Mobayen, Paweł Skruch
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2026-02-01
Col·lecció:	Scientific Reports
Matèries:	Intelligent agriculture Fire detection Machine learning Embedded system Random forest Linear regression
Accés en línia:	https://doi.org/10.1038/s41598-026-40378-w
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