Results 141 to 150 of about 1,323,656 (256)

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

A Psychoacoustic Feature Extraction and Spatio-Temporal Analysis Framework for Continuous Aircraft Noise Monitoring. [PDF]

Sensors (Basel)
He T, Hou J, Chen D.
europepmc   +1 more source

Canola yield prediction and genotype selection using uncrewed aerial system multispectral imagery and machine learning models

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Evaluation and selection of canola breeding lines across multiple years and locations are vital for variety development. However, accurately measuring canola (Brassica napus L.) yield under field conditions is challenging due to end‐of‐season events such as rain, windstorms, and hail, as well as variability in plant maturity and pod shattering.
Mohammad Jony, Cristhian Perdigon, Md Fahad Hasan, Paulo Flores, Mukhlesur Rahman   +4 more
wiley   +1 more source

Early Auditory and Psychological Shifts in Newly Enlisted Republic of Korea Air Force Soldiers Exposed to Aircraft Noise: A Pilot Prospective Study. [PDF]

Noise Health
Park K, Lee S, Kim HC, Cho HH.
europepmc   +1 more source

Co-exposure to urban particulate matter and aircraft noise adversely impacts the cerebro-pulmonary-cardiovascular axis in mice. [PDF]

Redox Biol, 2023
Kuntic M, Kuntic I, Krishnankutty R, Gericke A, Oelze M, Junglas T, Bayo Jimenez MT, Stamm P, Nandudu M, Hahad O, Keppeler K, Daub S, Vujacic-Mirski K, Rajlic S, Strohm L, Ubbens H, Tang Q, Jiang S, Ruan Y, Macleod KG, Steven S, Berkemeier T, Pöschl U, Lelieveld J, Kleinert H, von Kriegsheim A, Daiber A, Münzel T.   +27 more
europepmc   +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

Annoyance and task performance during a single high-level aircraft noise and multiple lower-level aircraft noises. [PDF]

Noise Health
Welch D, Shepherd D, Dirks KN, Ong J.
europepmc   +1 more source

The Impact of Aircraft Noise on the Cognitive Function of Elementary School Students in Korea.

Noise Health, 2023
Baek K, Park C, Sakong J.
europepmc   +1 more source

Phenomic prediction of wheat yield and grain quality using multispectral, hyperspectral, and thermal imagery

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
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, I. Ortiz‐Monasterio, F. A. Rodrigues Junior, M. Quemada, J. Burgueño, S. R. Mothukuri   +5 more
wiley   +1 more source

Data Driven Bibliometric Analysis of Studies on Aircraft Noise and Health Effects. [PDF]

Noise Health
He T, Hou J, Guo X, Chen D.
europepmc   +1 more source