Evaluation of LiDAR‐based canopy trait estimation in Midwestern row crops
Abstract Stand count, the number of plants per unit ground area, and leaf area index (LAI), the ratio of leaf area to ground area, are critical traits for crop research but are traditionally measured using labor‐intensive methods. While new sensing technologies are being developed, quantifying improvement in measurement efficiency and data quality ...
Matthew H. Siebers +4 more
wiley +1 more source
Vehicle Autonomy to Ecosystem Intelligence: A Systematic Review of Dynamic Vision Architectures in Surface Mining Operations. [PDF]
Anti NYD, Frimpong S, Raza MA.
europepmc +1 more source
Genomic and phenomic prediction models improve selection accuracy for complex traits in alfalfa
Abstract Predictive breeding has been proposed as an effective approach to accelerate genetic gain for complex traits. Genomic prediction (GP) models have been developed in alfalfa (Medicago sativa L.) for key traits in the last decade. More recently, phenomic prediction (PP) models have been proposed as a low‐cost, high‐throughput alternative to GP in
Pablo Sipowicz +8 more
wiley +1 more source
Impact of UK Weather on Autonomous Vehicle Radar, LiDAR and Camera Vision Systems. [PDF]
Smith J +18 more
europepmc +1 more source
ABSTRACT Urbanisation, climate uncertainty, and limited city budgets have heightened the need for efficient urban drainage management. While advanced hydrodynamic models assess the performance of drainage networks, they are computationally intensive, time‐consuming, and expensive.
Rakhee Ramachandran +3 more
wiley +1 more source
2D grid map creation based on RGBD-camera and LiDAR data. [PDF]
Delhibabu R, Zhukova NA, Gizzatov A.
europepmc +1 more source
The case for an epiphyte area index
Three distinct ecosystems where epiphytes contribute a substantial vegetative area in the canopy.
Collin Wischmeyer +3 more
wiley +1 more source
Spatially-Aware Reliability Modeling for BEV LiDAR 3D Vehicle Detection. [PDF]
Hu N +5 more
europepmc +1 more source
Automated Road Marking Wear Assessment via Multimodal Fusion of LiDAR Intensity and YOLOv11 Semantic Segmentation. [PDF]
Chen PY +5 more
europepmc +1 more source
Advances in Computer Vision and Sensor-Based Methods for Intelligent Power Transmission Line Inspection. [PDF]
Kouris VN, Vrochidou E, Papakostas GA.
europepmc +1 more source

