erest. DATA AVA I L A B I L I T Y S TAT E M E N T Links to code, tutorials, documentation, and other resources are available on the PlantCV homepage at https://plantcv.org. PlantCV source code is available on GitHub at https:// github.com/danforthcenter/plantcv. Scripts used for analyses in this paper are available on GitHub at https://github.com/danforthcenter/plantcv-4-paper.O RC I D HaleySchuhl https://orcid.org/0000-0002-8825-8297 KeelyE. Brown https://orcid.org/0000-0002-5371-5830 ParagK. Bhatt https://orcid.org/0000-0002-0396-6412 DominikSchneider https://orcid.org/0000-0002-5846-5033 Anna L. Casto https://orcid.org/0000-0002-9597-0514 Lucia Acosta-Gamboa https://orcid.org/0000-0001-77
Open resource ↗danforthcenter/plantcv-4-paper · pdf-raw-page:15 lines:1-92Unverified paper record
PlantCV v4: Image analysis software for high-throughput plant phenotyping
UNC Libraries · 8 Jul 2026 · 10.17615/r299-3r38
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.
Plant phenotyping relevance
植物フェノタイピング用の画像解析ソフトウェア開発と、形態形質測定機能の実証が中心である。
abstractPlantCV is an open-source Python project aimed at developing tools to address a range of image-based, plant phenotyping questions.
abstractwe 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.
Code and data availability
The paper's data availability statement explicitly says that scripts used for the analyses in this paper are publicly available on GitHub (danforthcenter/plantcv-4-paper), and PlantCV source code is available via the PlantCV homepage. This is a paper-specific, public, actionable analysis-code asset.
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