Results 111 to 120 of about 3,477,051 (221)

Spatial and temporal scales in plant phenotyping for crop water stress assessment: A review

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Water stress is a major limiting factor for crop productivity worldwide, and its impacts are intensifying due to climate variability and increasing water scarcity. This review focuses on the spatial and temporal scales in plant phenotyping as a critical approach to improving crop water‐stress assessment and supporting precision water ...
Daniel Kingsley Cudjoe, Yazhou Sun, Sanai Li, Wenxuan Guo   +3 more
wiley   +1 more source

UAV‐based RGB and multispectral vegetation indices as alternatives to light box‐derived dark green color index for turfgrass color assessment

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Traditionally, turfgrass color has been assessed through visual ratings or light box‐based digital image analysis, methods that are either subjective or labor‐intensive. In this study, we evaluated the potential of unmanned aerial vehicle (UAV)‐based multispectral and red‐green‐blue (RGB) imagery as a high‐throughput alternative for capturing ...
Ved Parkash, Phillip L. Vines, Sameer Khanal, Jing Zhang, Joann Conner, Susana R. Milla‐Lewis, Nino Brown, David Jespersen, Jodi Johnson‐Maynard, Brian M. Schwartz   +9 more
wiley   +1 more source

Integrierte Multi-GNSS Empfänger

The challenges of multi-band, multi-system (i.e., multi-) GNSS reception are higher bandwidths, higher sampling rates, and often multiple reception chains.
Rügamer, Alexander
core   +1 more source

UAV‐based deep transfer learning to improve grain yield prediction in winter wheat across temporal and spatial variability

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Accurate prediction of grain yield (GY) remains a major challenge in plant breeding due to complex interactions between genotype, environment, and management (G × E × M) factors. Remote sensing data from unmanned aerial vehicles (UAVs) equipped with multispectral sensors have emerged as a pivotal resource for high‐throughput phenotyping.
Swas Kaushal, Mohammad Maruf Billah, Mandeep Singh, Dante Koupal, Pradeep Raj Sitaula, Jyotirmoy Halder, Jagdeep Sidhu, Maitiniyazi Maimaitijiang, Sunish K. Sehgal   +8 more
wiley   +1 more source

Phenomic prediction of wheat yield and grain quality using multispectral, hyperspectral, and thermal imagery

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Grain quality in durum wheat (Triticum turgidum L. subsp. durum (Desf.) Husn.) remains a major challenge for plant breeders because grain yield and grain protein concentration often show a trade‐off, and both are influenced by grain nitrogen concentration.
A. Pacheco, I. Ortiz‐Monasterio, F. A. Rodrigues Junior, M. Quemada, J. Burgueño, S. R. Mothukuri   +5 more
wiley   +1 more source

Instantaneous, Dual-Frequency, Multi-GNSS Precise RTK Positioning Using Google Pixel 4 and Samsung Galaxy S20 Smartphones for Zero and Short Baselines. [PDF]

Sensors (Basel), 2021
Yong CZ, Odolinski R, Zaminpardaz S, Moore M, Rubinov E, Er J, Denham M.   +6 more
europepmc   +1 more source

Building a Continental‐Scale Geodetic Network: The Plate Boundary Observatory (PBO)

Perspectives of Earth and Space Scientists, Volume 7, Issue 1, December 2026.
Abstract The Plate Boundary Observatory (PBO) transformed the use of geodesy in North America to study crustal deformation and plate boundary processes by establishing a continental‐scale, standardized, open‐access geodetic network. Built and operated by UNAVCO between 2003 and 2018 as part of the National Science Foundation (NSF)‐funded EarthScope ...
Emily E. Zawacki, Michael E. Jackson, Glen S. Mattioli, David J. Mencin, Karl Feaux, Donna J. Charlevoix   +5 more
wiley   +1 more source

Cabbage yield estimation with multi‐view convolutional neural networks from UAV‐derived point clouds

Agronomy Journal, Volume 118, Issue 6, November/December 2026.
Abstract Three‐dimensional (3D) data from remote sensing, including point clouds, provide detailed canopy structural information that can enhance both estimation accuracy and model generalization. The main objective of this study was to evaluate the accuracy of per‐plant yield estimation of cabbage (Brassica oleracea var.
Yui Yokoyama, René Gislum, Tsutomu Matsui, Takashi S. T. Tanaka   +3 more
wiley   +1 more source

Precise positioning in multi-GNSS mode [PDF]

, 2018
Presentation to the Department of Geography of the University of Liège of the context of the research undertaken by the PhD Candidate Cécile Deprez. Multi-GNSS positioning improves single-GNSS positioning by many aspects including an increase in the ...
Deprez, Cécile
core  

Do Shallow Slip Deficits Reflect Fault Structural Maturity or Modeling Choices? A Comparative Analysis of Tibetan Strike‐Slip Earthquakes

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 11, November 2026.
Abstract InSAR‐constrained finite fault slip models are often used to characterize fault geometries and slip distributions of large continental earthquakes. A common feature of these models is a decrease in slip near the surface, commonly expressed as a percentage shallow slip deficit (SSD).
É. Gaudreau, E. Nissen, J. Liu
wiley   +1 more source