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dc.contributor.author GOMENIUC, Alina
dc.contributor.author FIŞTIC, Cristofor
dc.contributor.author CASAP, Alexandru
dc.contributor.author ŞCEBEC, Mihai
dc.date.accessioned 2020-06-03T09:04:52Z
dc.date.available 2020-06-03T09:04:52Z
dc.date.issued 2020
dc.identifier.citation GOMENIUC, Alina, FIŞTIC, Cristofor, CASAP, Alexandru, ŞCEBEC, Mihai. Forest Fire Detection and Prediction System. In: Conferinţa tehnico-ştiinţifică a studenţilor, masteranzilor şi doctoranzilor = The Technical Scientific Conference of Undergraduate, Master and PhD Students, Chişinău, 1-3 Aprilie, 2020. Chişinău, 2020, vol. 1, pp. 224-227. ISBN 978-9975-45-632-6. en_US
dc.identifier.isbn 978-9975-45-632-6
dc.identifier.uri http://repository.utm.md/handle/5014/8631
dc.description.abstract This paper discusses a Forest Fire Detection and Prediction System that is going to cope with one of the main problems of nowadays, namely wildfires. Huge losses and serious threats to ecosystems are common consequences of forest fires. This work describes a forest fire controller logic and decision-making methods aiming at enhancing forest fire prevention and detection systems. The environmental monitoring of several dynamic risk factors is performed with wireless sensor networks. With respect to this, meteorological variables such as humidity, temperature, etc. are measured in real-time to estimate the existence of forest fire risks in the short-term and to detect the recent occurrence of fire outbreaks over different forest areas and notify fire fighters. en_US
dc.language.iso en en_US
dc.publisher Tehnica UTM en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject IoT en_US
dc.subject cloud en_US
dc.subject protocol en_US
dc.subject automation en_US
dc.subject sensor en_US
dc.title Forest Fire Detection and Prediction System en_US
dc.type Article en_US


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