Highlights•Plant population-scale multi-omics research is key to develo** sustainable
agriculture.•Explainable artificial intelligence is increasingly applied to advance multi-omics …

Obtaining low vegetation data is important in order to quantify the structural characteristics of
a forest. Dense three-dimensional (3D) laser scanning data can provide information on the …

Traditional methods for individual tree-crown (ITC) detection (image classification,
segmentation, template matching, etc.) applied to very high-resolution remote sensing …

Forests provide biodiversity, ecosystem, and economic services. Information on individual
trees is important for understanding forest ecosystems but obtaining individual-level data at …

Environment perception by computing the depth is a key task for unmanned aerial vehicle
(UAV) type systems. Due to the limited load they can carry, most drones are equipped with a …

Individual tree segmentation from airborne laser scanning data is a longstanding and
important challenge in forest remote sensing. Tree segmentation algorithms are widely …

Accurate identification and segmentation of individual tree points are crucial for assessing
forest spatial distribution, understanding tree growth and structure, and managing forest …

As one of the most important components of urban space, the geometric and semantic
properties of road trees are crucial for the assessment and upgrade of urban environments …

Applications of lidar in ecosystem conservation and management continue to expand as
technology has rapidly evolved. An accounting of relative accuracy and errors among lidar …

Segmentation of three-dimensional (3D) point clouds is fundamental in comprehending
unstructured structural and morphological data. It plays a critical role in research related to …