Results 231 to 240 of about 1,888,108 (299)

Exploring the structural variability in developing wheat grains using autofluorescence multispectral imaging at the macroscopic scale. [PDF]

Front Plant Sci
Chateigner-Boutin AL, Guillon F, Devaux MF.   +2 more
europepmc   +1 more source

Insights into biomass accumulation and challenges in grain yield prediction of elite breeding materials using UAV‐based vegetation indices in soft red winter wheat

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
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, Amelia Loeb, Francis Reith, Alexis Perry, Sunilda Frias, Demetrius Ragland, Limei Liu, Wynse Brooks, Ranjita Thapa, Julie Hansen, Christopher Pierce, Virginia M. Moore, Gina Brown‐Guedira, Ian Ray, Michael A. Gore, Kelly Robbins, Nicholas Santantonio   +16 more
wiley   +1 more source

Multispectral imaging for characterizing autofluorescent tissues. [PDF]

Sci Rep
Bentahar S, Gómez-Gaviro MV, Desco M, Ripoll J, Fernández R.   +4 more
europepmc   +1 more source

Predicting soybean aboveground biomass in the short‐season region of Canada: Integrating vegetative cover and canopy height

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Aboveground biomass (ABM) is a key determinant of soybean (Glycine max [L.] Merr.) yield and can be used to select for stress‐resilient cultivars. The objective of our study was to develop a predictive model describing ABM in short‐season soybean from vegetative cover (VC) and canopy height (CH).
Malcolm J. Morrison, Thomas L. Hotte, A. Claire Gahagan, Nathaniel W. W. Ort, Elroy R. Cober   +4 more
wiley   +1 more source

Real-time multispectral imaging for intraoperative monitoring of coronary artery bypass graft patency. [PDF]

J Biomed Opt
De Winne J, Babin D, Luong H, Luthman S, Milosavljević AM, Jonjev Ž, Hrubik J, Velicki L.   +7 more
europepmc   +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

UAV-Based LiDAR and Multispectral Imaging for Estimating Dry Bean Plant Height, Lodging and Seed Yield. [PDF]

Sensors (Basel)
Panigrahi SS, Singh KD, Balasubramanian P, Wang H, Natarajan M, Ravichandran P.   +5 more
europepmc   +1 more source

Sequence Segmentation of Nematodes in Atlantic Cod with Multispectral Imaging Data. [PDF]

Foods
Sigurðardóttir AR, Sveinsdóttir HI, Schultz N, Einarsson H, Gudjónsdóttir M.   +4 more
europepmc   +1 more source

A novel approach integrating multispectral imaging and machine learning to identify seed maturity and vigor in smooth bromegrass. [PDF]

Plant Methods
Ou C, Jia Z, Zhao S, Sun S, Sun M, Liu J, Li M, Jia S, Mao P.   +8 more
europepmc   +1 more source

Data Fusion of Electronic Nose and Multispectral Imaging for Meat Spoilage Detection Using Machine Learning Techniques. [PDF]

Sensors (Basel)
Kodogiannis VS, Alshejari A.
europepmc   +1 more source