Find and compare the different tools available for your research in plant science

The Quantitative Plant website is a comprehensive database of public datasets for plant phenotyping, image analysis software tools and models for plants.

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The Quantitative Plant website was developed to help researchers having to analyze plants to find the right image dataset, tool, or mathematical model for their research.

What was in 2013 solely a plant image analysis database has grown into a comprehensive database of public datasets for plant phenotyping, image analysis software tools and models for plants

On the left is the Quantitative Plant logo: a circle with gears, a leaf, and computer monitor and tower inside. The text "Quantitative Plant" is the right.

Maintained by Guillaume Lobet and Clément Saint Cast, the Quantitative Plant website features 180 image software tools, 31 image datasets, and 101 plant and crop models as of March 2022.

Guillaume Lobet, an Assistant Professor in a joint position between the Forschungszentrum Jülich and the UCLouvain, is a plant enthusiast who is passionate about Open Science. I asked him why.

“Acquiring datasets is a long and (sometimes) expensive exercise. Publicly sharing a dataset can decrease its cost while at the same time increase its reproducibility and further use. Data repositories and the rise of data journals can even help get more citations. Reproducibility is critical, therefore not only data should be open, but software and mathematical model as well. Code repositories can prevent that academic software and tools perish after funding and incentives have run out. It provides more chances for long term maintenance through collaboration and can help with debugging the code and version control. Ultimately every step in the research process can be opened and the tools to do so are available” explains Guillaume Lobet.

How comprehensive is the Quantitative Plant website? If a tool is in the public sphere, it is manually curated by Guillaume Lobet and Clément Saint Cast. If something is missing, they welcome submissions.

The online database is not just a list of tools and mathematical models. Each is presented concisely in a consistent framework and is described by their general characteristics (e.g., plant part studied) and uses (e.g. species studied). They are referenced by one or more scientific articles presenting their characteristics or success stories.

This descriptive information allows users to query the database with keywords or browse it with pre-defined criteria such as the type of organ to analyze, the measurements to make, plant species, license type, and operating system.

A screenshot of the Quantitative Plant website. The header shows links to image software tools, image datasets, and plant and crop models at the top. There are also links to API, submit, about, and citing the website. There are 180 tools, 31 datasets, and 101 models currently archived. There is also a text box for conducting searches. The subheader has dropdown menus where plant organ, measurements, operating system, license type and automation level can be chosen. Below that, the image has boxes for a selection of models including their name, logo or representative image, plant organ type, measurement, icons representing operating system, and year of inclusion in the database.

“We believe public resource like this will provide a way to exchange and communicate about the development of new tools and models, but also facilitate collaboration and connection between the phenomics and modelling communities.”

For a comprehensive database of public datasets for plant phenotyping, see the Quantitative Plant website at

Rachel Shekar

Rachel (she/her) is a Founding and Managing Editor of in silico Plants. She has a Master’s Degree in Plant Biology from the University of Illinois. She has over 15 years of academic journal editorial experience, including the founding of GCB Bioenergy and the management of Global Change Biology. Rachel has overseen the social media development that has been a major part of promotion of both journals.

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