Bark beetle outbreaks can have serious consequences on forest ecosystem processes,
biodiversity, forest structure and function, and economies. Thus, accurate and timely …

Bark beetle disturbances increasingly threaten structure and functionality of temperate and
boreal forests globally. The early detection of bark beetle-infested trees, ie before beetles' …

Increasing tree mortality due to climate change has been observed globally. Remote
sensing is a suitable means for detecting tree mortality and has been proven effective for the …

Scholarly work points to 5S+ 1, a simple yet powerful method of initiating quality in
manufacturing, as one of the foundations of Lean manufacturing and the Toyota Production …

With the rapid development of artificial intelligence, much more attention has been paid to
deep learning. However, as the complexity of learning algorithms increases, the needs of …

Forest stress monitoring and in-time identification of forest disturbances are important to
improve forest resilience to climate change. Fast-developing drone techniques and …

Modern manufacturing is the world's largest and most automated industrial sector. The rise
of Industry 4.0 technologies such as Big Data, Internet of Things (IoT) devices, and Machine …

This paper presents a novel automated road damage detection approach using Unmanned
Aerial Vehicle (UAV) images and deep learning techniques. Maintaining road infrastructure …

Unmanned aerial vehicles (UAVs), renowned for their rapid deployment, extensive data
collection, and high spatial resolution, are crucial in locating distressed individuals during …

The verticillium fungus has become a widespread threat to olive fields around the world in
recent years. The accurate and early detection of the disease at scale could support solving …