Results 151 to 160 of about 16,752 (252)

Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang, Daeun Choi, Damian Adams, Jaehyun Ahn, Kelly Balmant, Raquel Dias, Carlos D. Messina, Rafael Muñoz‐Carpena, Vance M. Whitaker, Haipeng Yu, Ziwen Yu, Chang Zhao, Changying Li   +12 more
wiley   +1 more source

Residential Greenness and Risk of Coronary Artery Disease Following COVID-19: A Nationwide Cohort Study in South Korea. [PDF]

J Am Heart Assoc
Yeo D, Kim J, Kim K, Lee S, Lee H, Smith L, Pizzol D, Woo HG, Woo S, Yon DK, Hwang Y.   +10 more
europepmc   +1 more source

Multiple ortho‐mosaicking software pipelines produce comparable imagery‐derived wheat phenotypes

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Unmanned aerial systems (UAS) equipped with multispectral and RGB sensors offer valuable data for monitoring crop health and assessing disease severity. However, the wide range of available photogrammetric software complicates software selection for high‐throughput plant phenotyping.
Sanju Shrestha, Phillip D. Alderman, Grishma Ojha, Brett F. Carver   +3 more
wiley   +1 more source

Satellite and ground-level residential greenness and hair steroid hormones during pregnancy. [PDF]

Environ Epidemiol
Bhattacharya S, Michael Y, Sokolova N, David N, Levhar M, Schonblum A, Arnon L, Salzer Sheelo L, Eisner M, Hadar E, Meizner I, Wiznitzer A, Weller A, Koren L, Agay-Shay K.   +14 more
europepmc   +1 more source

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

Spatiotemporal dynamics of the capture rate of Rattus tanezumi and its implications for rodent-borne diseases in the Three Gorges Reservoir Area, China. [PDF]

Environ Monit Assess
Xiao H, Liu Q, Su K, Wang Z, Tu T, Wei J, Ji H, Shang M, Ji H.   +8 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

K-means clustering applied to vegetation indices for mapping cultivated areas using high-resolution Moroccan Mohammed VI satellite imagery. [PDF]

Sci Rep
Moussaid A, Bayad M, Gamoussi Y, El Hamdouni Y, Briak H.   +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

Differential Association Between Surrounding Greenness and Mortality in Individuals With Coronary Heart Disease. [PDF]

JACC Adv
Cohen G, Ashri S, Keinan-Boker L, Shafran I, Golan L, Broday DM, Steinberg DM, Itzhaki Ben Zadok O, Bental T, Moran M, Kornowski R, Gerber Y.   +11 more
europepmc   +1 more source