A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management

SPH Boroujeni, A Razi, S Khoshdel, F Afghah… - Information …, 2024 - Elsevier
Wildfires have emerged as one of the most destructive natural disasters worldwide, causing
catastrophic losses. These losses have underscored the urgent need to improve public …

Precise extraction of targeted apple tree canopy with YOLO-Fi model for advanced UAV spraying plans

P Wei, X Yan, W Yan, L Sun, J Xu, H Yuan - Computers and Electronics in …, 2024 - Elsevier
The precise analysis of individual fruit tree canopy information for accurate navigation and
spraying operations of plant protection machinery is important for intelligent orchard …

[HTML][HTML] AI-powered IoT and UAV systems for real-time detection and prevention of illegal logging

MNA Ramadan, MAH Ali, SY Khoo, M Alkhedher - Results in Engineering, 2024 - Elsevier
Illegal logging poses a significant threat to environmental conservation, contributing to
deforestation, ecosystem disruption, and economic losses. Traditional detection methods …

A universal canopy gap fraction model for forests with various tree distributions based on Nilson's models considering directional overlaps among crowns

J Geng, JL Roujean, A Kuusk, Y Pang, L Tu… - Agricultural and Forest …, 2024 - Elsevier
An accurate estimation of forest canopy gap fraction (GF) is a prerequisite for remote
sensing retrievals of several associated canopy parameters eg leaf area index, fAPAR …

Performance of individual tree segmentation algorithms in forest ecosystems using UAV LiDAR data

J Marcello Ruiz, M Spínola Lasso, L Albors Zumel… - Drones, 2024 - upcommons.upc.edu
Forests are crucial for biodiversity, climate regulation, and hydrological cycles, requiring
sustainable management due to threats like deforestation and climate change. Traditional …