Abstract
Forest fire is a matter of concern as it affects our ecological cycle and incurs a huge economical loss. There are various sensor-based systems built to detect fire at an early stage but the maintenance and covering the huge area is not feasible. Deep learning-based systems are also developed for fire detection however early detection, real time processing and monitoring of the region of interest is a major problem. To overcome these issues a remote sensing and deep learning-based forest fire detection system is proposed. The main objective is to monitor the forest and detect fire at an early stage. Remote sensing is used for versatile data collection which is used for training the model. ‐‐‐‐ based model is used to detect fire with ‐‐accuracy.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
