| Title: |
PlantCV v4 : Image analysis software for high-throughput plant phenotyping |
| Authors: |
Schuhl, Haley; Brown, Keely E.; Sheng, Hudanyun; Bhatt, Parag K.; Gutierrez, Jorge; Schneider, Dominik; Casto, Anna L.; Acosta-Gamboa, Lucia; Ballenger, Joe G.; Barbero, Fabio; Braley, Jackson; Brown, Autumn M.; Chavez, Leonardo; Cunningham, Shannon; Dilhara, Malinda; Dimech, Adam M.; Duenwald, Joseph G.; Fischer, Annika; Gordon, Jared M.; Hendrikse, Chloe; Hernandez, Gabriela L.; Hodge, John G.; Huber, Martina; Hurr, Brandon M.; Jarolmasjed, Sanaz; Jimenez, Karina Medina; Kenney, Samuel; Konkel, Grant; Kutschera, Alexander; Lama, Sunita; Lohbihler, Matthew; Lorence, Argelia; Luebbert, Collin; Ly, Nathaniel; Manching, Heather K.; Marrano, Annarita; Meerdink, Susan; Miklave, Nicholas M.; Mudrageda, Pavan; Murphy, Katherine M.; Peery, J. David; Pierik, Ronald; Polydore, Seth; Robey, Caleb; Rogers, Tess; Schultz, Tyler J.; Seigel, Eliza; Srivastava, Dhiraj; Summerer, Stephan; Sumner, Josh; Teng, Chong; Thompson, Adriane E.; Tovar, Jose C.; van Daalen, Tim; Watson, Mark; Wheeler, John J.; Wilson, Mark C.; Ying, Kaitlyn R.; Zare, Alina; Zhou, Yutai; Gehan, Malia A.; Fahlgren, Noah |
| Source: |
Plant Phenome Journal 9 (2026) 1 ; ISSN: 2578-2703 |
| Publication Year: |
2026 |
| Collection: |
Wageningen UR (University & Research Centre): Digital Library |
| Subject Terms: |
Life Science |
| Description: |
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 experience through extensive example use-case tutorials and simplified installation. In addition to usability, we document added functionality since the release of PlantCV v2, including support for more image types such as fluorescence, thermal, and hyperspectral data. Finally, we describe the development of a new subpackage focused on morphological trait measurements like leaf angle, and demonstrate its utility as compared to more manual methods of data collection. |
| Document Type: |
article in journal/newspaper |
| File Description: |
application/pdf |
| Language: |
English |
| Relation: |
https://edepot.wur.nl/710910 |
| DOI: |
10.1002/ppj2.70065 |
| Availability: |
https://research.wur.nl/en/publications/plantcv-v4-image-analysis-software-for-high-throughput-plant-phen; https://doi.org/10.1002/ppj2.70065; https://edepot.wur.nl/710910 |
| Rights: |
https://creativecommons.org/licenses/by/4.0/ ; Wageningen University & Research |
| Accession Number: |
edsbas.816CB8ED |
| Database: |
BASE |