Authors
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Haley Schuhl, View ORCID ProfileKeely E. Brown, Hudanyun Sheng, View ORCID ProfileParag K. Bhatt, Jorge Gutierrez, View ORCID ProfileDominik Schneider, View ORCID ProfileAnna L. Casto, View ORCID ProfileLucia Acosta-Gamboa, Joe G. Ballenger, View ORCID ProfileFabio Barbero, Jackson Braley, View ORCID ProfileAutumn M. Brown, View ORCID ProfileLeonardo Chavez, Shannon Cunningham, Malinda Dilhara, View ORCID ProfileAdam M. Dimech, View ORCID ProfileJoseph G. Duenwald, View ORCID ProfileAnnika Fischer, Jared M. Gordon, View ORCID ProfileChloe Hendrikse, View ORCID ProfileGabriela L. Hernandez, John G. Hodge, View ORCID ProfileMartina Huber, View ORCID ProfileBrandon M. Hurr, Sanaz Jarolmasjed, View ORCID ProfileKarina Medina Jimenez, View ORCID ProfileSamuel Kenney, Grant Konkel, View ORCID ProfileAlexander Kutschera, View ORCID ProfileSunita Lama, Matthew Lohbihler, View ORCID ProfileArgelia Lorence, View ORCID ProfileCollin Luebbert, View ORCID ProfileNathaniel Ly, View ORCID ProfileHeather K. Manching, View ORCID ProfileAnnarita Marrano, View ORCID ProfileSusan Meerdink, View ORCID ProfileNicholas M. Miklave, Pavan Mudrageda, View ORCID ProfileKatherine M. Murphy, View ORCID ProfileJ. David Peery, View ORCID ProfileRonald Pierik, View ORCID ProfileSeth Polydore, Caleb Robey, View ORCID ProfileTess Rogers, View ORCID ProfileTyler J. Schultz, View ORCID ProfileEliza Seigel, View ORCID ProfileDhiraj Srivastava, View ORCID ProfileStephan Summerer, View ORCID ProfileJosh Sumner, View ORCID ProfileChong Teng, View ORCID ProfileAdriane E. Thompson, View ORCID ProfileJose C. Tovar, View ORCID ProfileTim van Daalen, View ORCID ProfileMark Watson, View ORCID ProfileJohn J. Wheeler, Mark C. Wilson, Kaitlyn R. Ying, View ORCID ProfileAlina Zare, Yutai Zhou, View ORCID ProfileMalia A. Gehan, View ORCID ProfileNoah Fahlgren
Author
Keywords:
Image analysis, plant phenotyping, high-throughput
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 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.
