Results 81 to 90 of about 2,457,508 (205)

Flexible scientific data management for plant phenomics research [PDF]

, 2013
In this paper, we expand on the design and implementation of the Phenomics Ontology Driven Data repository [1] (PODD) with respect to the capture, storage and retrieval of data and metadata gen- erated at the High Resolution Plant Phenomics Centre ...
Gunasekera, Kutila, Ansell, Peter, Williams, Gareth, Furbank, Robert, Guo, Jianming, Sirault, Xavier, Benn, David   +6 more
core  

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

Harnessing Agronomics through Genomics and Phenomics in Plant Breeding: A Review [PDF]

, 2021
Plant breeding primarily focuses on improving conventional agronomic traits, e.g. yield, quality, and resistance to biotic and abiotic stress; however, genetic improvement methods are being rapidly enhanced through genomics and phenomics. In the Genomics-
Schnable, James C., Jin, Xiuliang, Rutkoski, Jessica, Stich, Benjamin, Crossa, Jose, Murray, Seth C., Zhang, Zhiwu, Chen, Chunpeng James, Wang, Lizhi, Hayes, Ben J.   +9 more
core  

Plant Phenotyping and Phenomics for Plant Breeding [PDF]

, 2018
As a consequence of the global climate change, both the reduction on yield potential and the available surface area of cultivated species will compromise the production of food needed for a constant growing population.

core   +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

PlantCV v4: Image analysis software for high‐throughput plant phenotyping

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract PlantCV is an open‐source Python project aimed at developing tools to address a range of image‐based, plant phenotyping questions. PlantCV has been used for more than 10 years to automate trait collection from image data, and the newest release, PlantCV version 4, continues to lower the barrier to entry for users without substantial coding ...
Haley Schuhl, Keely E. Brown, Hudanyun Sheng, Parag K. Bhatt, Jorge Gutierrez, Dominik Schneider, Anna L. Casto, Lucia Acosta‐Gamboa, Joe G. Ballenger, Fabio Barbero, Jackson Braley, Autumn M. Brown, Leonardo Chavez, Shannon Cunningham, Malinda Dilhara, Adam M. Dimech, Joseph G. Duenwald, Annika Fischer, Jared M. Gordon, Chloe Hendrikse, Gabriela L. Hernandez, John G. Hodge, Martina Huber, Brandon M. Hurr, Sanaz Jarolmasjed, Karina Medina Jimenez, Samuel Kenney, Grant Konkel, Alexander Kutschera, Sunita Lama, Matthew Lohbihler, Argelia Lorence, Collin Luebbert, Nathaniel Ly, Heather K. Manching, Annarita Marrano, Susan Meerdink, Nicholas M. Miklave, Pavan Mudrageda, Katherine M. Murphy, J. David Peery, Ronald Pierik, Seth Polydore, Caleb Robey, Tess Rogers, Tyler J. Schultz, Eliza Seigel, Dhiraj Srivastava, Stephan Summerer, Josh Sumner, Chong Teng, Adriane E. Thompson, Jose C. Tovar, Tim van Daalen, Mark Watson, John J. Wheeler, Mark C. Wilson, Kaitlyn R. Ying, Alina Zare, Yutai Zhou, Malia A. Gehan, Noah Fahlgren   +61 more
wiley   +1 more source

Functional phenomics pipeline

, 2018
The functional phenomics pipeline shows how knowledge about plant physiology can be inferred from phenotyping ...
Larry York (3849673)
core   +1 more source

Toward a Molecular Understanding of Plant Hormone Actions [PDF]

, 2016
Plants rely on a diverse set of small-molecule hormones to regulate every aspect of their biological processes including development, growth, and adaptation. Since the discovery of the first plant hormone, auxin, hormones have always been at the frontier
Matsuoka, M., Lee, Y., Li, Jiayang, Matsuoka, Makoto, Li, J.Y., Schroeder, J., Lee, Youngsook, Leung, Jeffrey, Zhao, Y.D., Harter, Klaus, Qu, L.J., Li, C.Y., Li, Chuanyou, Offringa, Remko, Qu, Lijia, Martinoia, Enrico, Zhao, Yunde, Chong, K., Offringa, R., Leung, J., Schroeder, Julian, Harter, K., Chong, Kang, Martinoia, E.   +23 more
core   +1 more source

Spectral Reflectance Modeling by Wavelength Selection: Studying the Scope for Blueberry Physiological Breeding under Contrasting Water Supply and Heat Conditions

Remote Sensing, 2019
To overcome the environmental changes occurring now and predicted for the future, it is essential that fruit breeders develop cultivars with better physiological performance.
Gustavo A. Lobos, Alejandro Escobar-Opazo, Félix Estrada, Sebastián Romero-Bravo, Miguel Garriga, Alejandro del Pozo, Carlos Poblete-Echeverría, Jaime Gonzalez-Talice, Luis González-Martinez, Peter Caligari   +9 more
doaj   +1 more source

Affordable Phenomics special topic—Foreword for The Plant Phenome Journal

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract The Affordable Phenomics special topic in The Plant Phenome Journal showcased recent advances that expand the accessibility, cost‐effectiveness, and scalability of plant phenotyping technologies. This collection of 15 articles presented innovative approaches, ranging from low‐cost sensors and open‐source analytical pipelines to artificial ...
Valerio Hoyos‐Villegas, Michael A. Gore   +1 more
wiley   +1 more source