Results 111 to 120 of about 2,732 (249)
Production of Digital Mosaics from Aerial Images
This research deals with the mosaicking aerial images using Geographic Information System ( GIS ) . The digital mosaic is assembled from two strips of aerial images.
Ruba Yousif Hussain
doaj
Abstract High‐throughput phenotyping (HTP) techniques have brought new opportunities to understand and evaluate key traits in plant breeding programs. Combining multiple measures through time and random regression models permits a more comprehensive understanding of the genetic and environmental effects on trait expression over time. This study aims to
Felipe Sabadin +16 more
wiley +1 more source
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 +9 more
wiley +1 more source
Penggunaan teknologi drone dan fotogrametri semakin populer dalam berbagai aplikasi pemetaan dan survei, terutama di daerah yang memiliki topografi kompleks seperti perbukitan. Teknologi ini menawarkan solusi yang efisien dan akurat untuk menghasilkan peta digital dengan resolusi tinggi, yang sangat diperlukan dalam berbagai proyek pembangunan dan ...
Mohamad Sapari Dwi Hadian +3 more
openaire +1 more source
Abstract Monitoring spatial variations in plant growth and forecasting yield before harvest provides valuable insights for optimizing agronomic decision‐making in potato (Solanum tuberosum L.) cultivation. Although unmanned aerial vehicle (UAV)‐based remote sensing has recently enabled the development of tuber fresh weight (TW) estimation models, their
Yuto Imachi +7 more
wiley +1 more source
Abstract Data from high‐throughput phenotyping (HTP) could be used for phenotype imputation to enhance genomic selection (GS) or gene discovery, but this has not been explored in crop species. Three machine learning models: multiple linear regression (MLR), missForest, and k‐nearest neighbors, were evaluated for grain yield (GY) phenotype imputation in
Raysa Gevartosky +2 more
wiley +1 more source
With the advent of very high-resolution (VHR) imaging satellites, it is possible to measure the heights of forest stands or even individual trees more accurately.
Wenjian Ni +8 more
doaj +1 more source
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 Background Intensive care following resuscitation from out‐of‐hospital cardiac arrest (OHCA) is based on a set of interventions, all of which are intended to reduce anoxic brain injury and improve outcomes, including sedation, mechanical ventilation, circulatory optimization, and temperature control protocols.
Jesper Kjaergaard +13 more
wiley +1 more source
The Danish Out‐of‐Hospital Cardiac Arrest Trial: A Statistical Analysis Plan
ABSTRACT Background Post‐cardiac arrest care for patients resuscitated from out‐of‐hospital cardiac arrest (OHCA) includes multiple pharmacological and physiological interventions, yet optimal strategies to reduce post‐cardiac arrest syndrome–related morbidity and mortality remain uncertain.
Simon Mølstrøm +11 more
wiley +1 more source

