Results 141 to 150 of about 12,614,375 (254)

Phenotype imputation using high‐throughput phenotyping produces a new secondary trait for further selection modeling

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
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, Lucas Berger Munaro, Jessica E. Rutkoski   +2 more
wiley   +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

High‐throughput assessment of plant stand establishment, seedling vigor, and light interception in peanut using UAV‐based RGB and multispectral imagery

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
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, Jessie H. Adams, Javier Rodriguez‐Sanchez, John L. Snider, Phillip L. Vines, Brian M. Schwartz, Nino Brown   +6 more
wiley   +1 more source

Evaluation of uncrewed aerial system‐derived vegetation indices for forage trait phenomic prediction in oat–pea intercrop breeding trials

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
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, Raysa Gevartosky, Lucas B. Munaro, Tim Mies, Luis Gehrke, Jessica Rutkoski, Juan David Arbelaez   +6 more
wiley   +1 more source

Proceedings New Technology for Ground Control in Retreat Mining [PDF]

"The proceedings of a series of technology transfer seminars entitled New Technology for Ground Control in Retreat Mining sponsored by NIOSH were presented.

core  

Phenomic prediction I: Plot‐level prediction of lodging severity in sorghum breeding trials using UAV‐based photogrammetric height data

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Lodging in sorghum (Sorghum bicolor (L.) Moench) presents a significant challenge for plant breeders due to the trade‐off between lodging resistance and grain yield. Manually measuring lodging across thousands of plots is time‐consuming, expensive, and error‐prone, making selection for lodging resistance challenging in breeding programs ...
Srinivasa Reddy Mothukuri, Sean Reynolds Massey‐Reed, Andries Potgieter, Kenneth Laws, Colleen Hunt, Esinam Nancy Amuzu‐Aweh, Mark Cooper, Emma Mace, David Jordan   +8 more
wiley   +1 more source

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

Journal 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, Yadira Bajón‐Fernández, Ian Truckell, Mónica Rivas Casado   +3 more
wiley   +1 more source

GCP Placement Methods for Improving the Accuracy of Shoreline Extraction in Coastal Video Monitoring

한국해양공학회지
In coastal video monitoring, the direct linear transform (DLT) method with ground control points (GCPs) is commonly used for geo-rectification. However, current practices often overlook the impact of GCP quantity, arrangement, and the geographical ...
Changyul Lee, Kideok Do, Inho Kim, Sungyeol Chang   +3 more
doaj   +1 more source

Fampridine for Symptomatic Treatment in Chronic Inflammatory Demyelinating Polyneuropathy: A Randomized, Double‐Blinded, Placebo‐Controlled Crossover Study

Journal of the Peripheral Nervous System, Volume 31, Issue 4, December 2026.
ABSTRACT Background and Aims Chronic Inflammatory Demyelinating Polyneuropathy (CIDP) is an immune‐mediated neuropathy that may cause persistent disability despite immunoglobulin treatment. Ion channel dysfunction has been demonstrated in CIDP, but no therapies specifically target this mechanism.
Peter Nørregaard Hansen, Lars Markvardsen, Hatice Tankisi, Henning Andersen, Thomas Krøigård, Søren Sindrup   +5 more
wiley   +1 more source

Extracting photogrammetric ground control from lidar DEMs for change detection

Research has shown the importance of measuring topography for surface change detection and that the use of remote sensing methods is ideal for this application.
Murray T, Barrand NE, Barr SL, James TD
core   +4 more sources