Results 231 to 240 of about 1,197,439 (289)

Recent Advances in Boron Removal From Geothermal Waters: A Review

Water and Environment Journal, EarlyView.
This review provides a comprehensive overview of boron removal technologies from geothermal fluids and highlights the limitations of conventional treatment methods. Ion exchange, hybrid processes and membrane filtration are identified as the most dominant approaches in recent studies.
Saadet Acar Can, Hasan Koseoglu
wiley   +1 more source

Novel insights into tomato leaf curl New Delhi virus introduction and evolution in Southeastern France using an advanced long-read sequencing workflow. [PDF]

PLoS Pathog
Patthamapornsirikul A, Golyaev V, Verdin E, Goillon C, Boolell H, Dierickx S, Wipf-Scheibel C, Girardot G, Dumon W, Cleemput S, Deforche K, Vanderschuren H, Desbiez C.   +12 more
europepmc   +1 more source

Assessment of corn chlorophyll content via UAV‐derived vegetative indices across growth stages

Agrosystems, Geosciences &Environment, Volume 9, Issue 4, December 2026.
Abstract Traditional chlorophyll (Chl) assessment methods are labor‐intensive and spatially limited. This study evaluated unmanned aerial vehicle (UAV) multispectral imagery for nondestructive field‐scale canopy Chl estimation in corn (Zea mays L.) to support precision nutrient management.
Aarati Khulal, Huijie Gan, Jitender Rathore, Sheetal Kumari, Ivy Flory, Caleb Bishop, Santosh Rijal, Olga Walsh   +7 more
wiley   +1 more source

A plant-centric view of class B flavin-dependent monooxygenase evolution and diversity. [PDF]

Plant J
Christensen JM, Neilson EHJ.
europepmc   +1 more source

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

<i>Moringa oleifera</i> Seed Cake as a Promising Prototype for Designing Phyto-Protectants Against <i>Fusarium oxysporum</i> f. sp. <i>lycopersici</i> in Tomato. [PDF]

Int J Mol Sci
De Nicola GR, Vincenzo C, Pane C.
europepmc   +1 more source

SMART: Speedy Measurement of Arabidopsis Rosette Traits

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Most computer vision‐ and machine learning‐based plant phenotyping systems compute traits such as shape and size rather than the color distribution of the plant surface, even though color can provide important insights into plant physiology. Therefore, we developed Speedy Measurement of Arabidopsis Rosette Traits (SMART), an open‐source plant ...
Suxing Liu, Allison E. Harris, Jiamei Li, Fiona L. Goggin, David G. Mendoza‐Cozatl, Alexander Bucksch   +5 more
wiley   +1 more source

Remodeling of the tuberization-controlling FLOWERING LOCUS T genes from non-tuberizing ancestor to potato. [PDF]

Plant J
Zhang M, Luo H, Li C, Zhu B, Zeng Z, Jing S.   +5 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

Identification of Pepper <i>AAP</i> Gene Family and Functional Characterization of <i>CaAAP6</i> in Drought Stress. [PDF]

Plants (Basel)
Zhang J, Zhou Z, Shi X, Cui X, Chen X, He J, Yang Q, Li H.   +7 more
europepmc   +1 more source