Abstract
Forest fires start in natural settings such as forests and spread unchecked, destroying millions of hectares of land worldwide and causing economic and environmental destruction in addition to human deaths. Traditional techniques of forest fire surveillance and detection include personnel to monitor the environment, which can be unsafe and costly in terms of the human resources required. In this field, to reduce such losses, technology that can detect any fire hazard in real time is required. Many techniques are used, like the Internet of Things (IoT), wireless sensor networks (WSN) and drone systems. This article provides a thorough examination of the various indications used to identify and detect forest fires. Also included are the communication protocols employed, as well as the various artificial intelligence techniques. Furthermore, this study summarizes a review conducted to identify directions and research issues in forest fire control and discusses the benefits and drawbacks of this strategy in order to aid in future studies aimed at the creation of early-warning systems for fire detection.
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.
