New research from Griffith University has measured individual tree heights across 3.1 million hectares in the New South Wales ...

A research team has developed an innovative three-dimensional (3D) tree modeling method that dramatically improves accuracy in estimating tree structure and volume.

A research team has developed a powerful unsupervised deep learning network that can accurately separate wood and leaf components in 3D point clouds of trees—without the need for labor-intensive data ...

Novels need a gripping story to stay popular as the decades pass, but it seems that other less-obvious factors may also ...

A research team led by Academician Zhu Jiaojun from the Institute of Applied Ecology (IAE) of the Chinese Academy of Sciences ...

Artificial intelligence (AI) is opening new ground in ecology. At Rice University, César A. Uribe is developing computational ...

Brian Maitner, an assistant professor in the Department of Integrative Biology, is revolutionizing the way researchers examine and predict the impact of environmental shifts on plant diversity. His ...

As large language models (LLMs) continue to improve at writing code, a key challenge has emerged: enabling them to generate complex, high-quality training data that actually reflects real-world ...

Abstract: Data sharing among vehicles is an effective way to alleviate the communication pressure on the backbone network and improve data transmission efficiency in the Internet of Vehicles (IoV).

Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...