Results 161 to 170 of about 15,182,981 (294)
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 +8 more
wiley +1 more source
Abstract In peanut (Arachis hypogaea L.), plant stand establishment, seedling vigor, and canopy growth are key determinants of crop performance; yet traditional ground‐based assessment methods can be destructive, labor‐intensive, and limited in throughput.
Ved Parkash +6 more
wiley +1 more source
GNSS-R Altimetry Performance Analysis for the GEROS Experiment on Board the International Space Station. [PDF]
Camps A, Park H, Sekulic I, Rius JM.
europepmc +1 more source
Abstract Accelerating genetic gain in intercrop forage breeding requires scalable phenotyping approaches that can capture both yield and quality variation across complex genotype combinations. This study evaluated the use of uncrewed aerial system (UAS)‐derived multispectral vegetation indices (VIs) for predicting forage yield and nutritive quality in ...
Milcah Kigoni +6 more
wiley +1 more source
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 +5 more
wiley +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
Abstract Understanding fault geometry and mechanics is key to interpreting the seismotectonic setting of a region. We analyze data from a 1‐year dense seismic array deployment in Southern Italy to infer focal mechanisms and stress field from low‐magnitude earthquakes using machine‐learning techniques.
Francesco Scotto di Uccio +5 more
wiley +1 more source
Abstract Validating the controversial hypothesis that precursory gravity changes arise from sudden acceleration of subducting plates potentially triggering great earthquakes is of paramount importance. To rigorously evaluate proposed precursors for the 2011 Mw 9.0 Tohoku and 2010 Mw 8.8 Maule earthquakes, we develop a statistical framework that enables
Dhamsith Weerasinghe +3 more
wiley +1 more source
The Overlooked Role of Alongshore Beach Non‐Uniformity in Short‐Term Shoreline Variability
Abstract Long‐term beach monitoring and satellite‐derived shoreline products are typically validated, and shoreline models calibrated, along cross‐shore transects. Open sandy beaches, however, are rarely uniform alongshore, because crescentic megacusps migrate past fixed transects, and their effect on single‐transect records remains unquantified.
Xinyu Chen +4 more
wiley +1 more source
Analysis of GNSS-R delay and doppler tracking errors
The compensation of the delay and Doppler errors using tracking is important to accurately estimate the sea height in spaceborne GNSS-R. This work presents the impacts of the tracking residual errors on the GNSS-R observables, and potential tracking ...
Camps Carmona, Adriano José +6 more
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