Can I read Aerial Forest Smoke’s Fire Detection Using Enhanced YOLOv5 on EtoBox?

Aerial Forest Smoke’s Fire Detection Using Enhanced YOLOv5 by Dalila Cherifi; Belkacem Bekkour; Assala Benmalek; Meroua Bayou; Ines Mechti; Abdelghani Bekkouche; Chaima Amine; Ahmed Halak is a book available to read on EtoBox.

What is Aerial Forest Smoke’s Fire Detection Using Enhanced YOLOv5 about?

Forest fires around the world are the main cause of devastating millions of forest hectares, destroying several infrastructures and unfortunately causing many human casualties among both fire fighting crews and civilians that might be accidentally surrounded by the fire. The early detection of more than 58,950 forest fires and the real-time fire perception are two key factors that allow the firefighting crews to act accordingly in order to prevent the fire from achieving unmanageable proportions . Forest fire detection is such a challenging problem for the current world. Traditional methodologies depend on a set of expensive hardware and sensors that might be not accurate due to some environment parameters and weather fluctuations. This paper proposes an accurate intelligent deep learning-based YOLOv5 model to detect forest fires from a given aerial images.

Author

Dalila Cherifi; Belkacem Bekkour; Assala Benmalek; Meroua Bayou; Ines Mechti; Abdelghani Bekkouche; Chaima Amine; Ahmed Halak

Publisher

Springer International Publishing Springer

Published

2023

Language

EN

ISBN

9783031212154

Subjects

Science, Stem