Results 221 to 230 of about 22,677 (288)

Evaluation of LiDAR‐based canopy trait estimation in Midwestern row crops

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
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

Genomic and phenomic prediction models improve selection accuracy for complex traits in alfalfa

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
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]

open access: yesSensors (Basel)
Smith J   +18 more
europepmc   +1 more source

Exploring the Potential of Unmanned Aerial System‐Based Topographic Indices Maps to Evaluate Storm Drain Positioning

open access: yesJournal of Flood Risk Management, Volume 19, Issue 4, December 2026.
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

The case for an epiphyte area index

open access: yesNew Phytologist, Volume 252, Issue 3, Page 973-980, November 2026.
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]

open access: yesSensors (Basel)
Hu N   +5 more
europepmc   +1 more source

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