Work

YOLO-LFD: A Lightweight and Fast Model for Forest Fire Detection

Year: 2024

Type: article

Abstract: Forest fires pose a serious threat to ecological balance, air quality, and the safety of both humans and wildlife. This paper presents an improved model based on You Only Look Once version 5 (YOLOv5), named YOLO Lightweight F... | Find, read and cite all the research you need on Tech Science Press

Source: Computers, materials & continua/Computers, materials & continua (Print)

DOI: 10.32604/cmc.2024.058932

Authors: Honglin Wang, Yangyang Zhang, Cheng Zhu

Institutions: University of Illinois Urbana-Champaign, Nanjing University of Information Science and Technology

Language: English

Topic: Fire Detection and Safety Systems

Subfield: Safety, Risk, Reliability and Quality

Field: Engineering

Domain: Physical Sciences

SDG: Life on land

Open Access status: diamond

Funder: National Natural Science Foundation of China