LiDAR applications in precision agriculture for cultivating crops: A review of recent advances
G Rivera, R Porras, R Florencia… - … and electronics in …, 2023 - Elsevier
Abstract In recent years, Light Detection and Ranging (LiDAR) technology has been one of
the most innovative subjects in laser scanning, remote sensing, and object detection …
the most innovative subjects in laser scanning, remote sensing, and object detection …
The shape of trees: Reimagining forest ecology in three dimensions with remote sensing
How ecologists think about above‐ground forest structure and dynamics is fundamentally
shaped by the data we can collect. This has historically been limited to what is possible with …
shaped by the data we can collect. This has historically been limited to what is possible with …
Individual tree crown segmentation from airborne LiDAR data using a novel Gaussian filter and energy function minimization-based approach
Accurate segmentation of individual tree crowns (ITCs) from airborne light detection and
ranging (LiDAR) data remains a challenge for forest inventories. Although many ITC …
ranging (LiDAR) data remains a challenge for forest inventories. Although many ITC …
[HTML][HTML] 3D point cloud fusion from UAV and TLS to assess temperate managed forest structures
Light detection and ranging (LiDAR) technology has become one of the most dominant
acquisition methods for modeling forest attributes, such as very accurate tree structure …
acquisition methods for modeling forest attributes, such as very accurate tree structure …
[HTML][HTML] ICESat-2 data classification and estimation of terrain height and canopy height
L He, Y Pang, Z Zhang, X Liang, B Chen - International Journal of Applied …, 2023 - Elsevier
Abstract ICESat-2 (Ice, Cloud, and Land Elevation Satellite-2) was launched in 2018 with a
photon-counting LiDAR (Light Detection and Ranging) system, ATLAS (Advanced …
photon-counting LiDAR (Light Detection and Ranging) system, ATLAS (Advanced …
BLAINDER—a blender AI add-on for generation of semantically labeled depth-sensing data
S Reitmann, L Neumann, B Jung - Sensors, 2021 - mdpi.com
Common Machine-Learning (ML) approaches for scene classification require a large
amount of training data. However, for classification of depth sensor data, in contrast to image …
amount of training data. However, for classification of depth sensor data, in contrast to image …
Individual rubber tree segmentation based on ground-based LiDAR data and faster R-CNN of deep learning
Rubber trees in southern China are often impacted by natural disturbances that can result in
a tilted tree body. Accurate crown segmentation for individual rubber trees from scanned …
a tilted tree body. Accurate crown segmentation for individual rubber trees from scanned …
A field-based high-throughput method for acquiring canopy architecture using unmanned aerial vehicle images
Plant architectural traits are important selection criteria in plant breeding that relate to
photosynthetic efficiency and crop productivity. Conventional manual measures of …
photosynthetic efficiency and crop productivity. Conventional manual measures of …
Total leaf area estimation based on the total grid area measured using mobile laser scanning
Q Li, Y Xue - Computers and Electronics in Agriculture, 2023 - Elsevier
In recent years, variable-rate spraying technology has been proposed to solve the pesticide
waste and environmental pollution problems caused by traditional spraying methods …
waste and environmental pollution problems caused by traditional spraying methods …
Development and validation of LiDAR sensor simulators based on parallel raycasting
Three-dimensional (3D) imaging technologies have been increasingly explored in
academia and the industrial sector, especially the ones yielding point clouds. However …
academia and the industrial sector, especially the ones yielding point clouds. However …