True phenotyping-in-a-box solution

Phenotiki is an affordable, easy-to-use, maintain and deploy image-based plant phenotyping platform. With one day setup time, and about €200 of equipment, which is easily installed, plants can be imaged and analyzed automatically (based on powerful machine learning algorithms) on a desktop workstation or via a web browser on the iPlant Collaborative cloud. And the best part is open in design and freely available to the academic community. Made simple so you can focus on doing just science.

  • Raspberry Pi
  • raspistillWeb interface
  • Example acquired image
  • Phenotiki analysis software
  • Phenotypic results plot

Phenotyping in few easy steps

Our solution is affordable and easy to deploy. Detailed documentation, software packages, and demos of our image-based phenotyping system are available for download. Find out in the Getting Started section about enabling your lab to phenotype rosette plants with minimal cost and effort.


Obtain hardware components and assemble the Phenotiki device.


Connect the Phenotiki device to the Internet and launch image acquisition from a web browser.


Download images from the device to your computer or browse them on the web-based BisQue platform.


Analyze the image data using the Phenotiki software on a workstation or on the cloud via web-based applications running on BisQue.


Visualize or export phenotyping results for further analysis.

Recent news

The Phenotiki team has published a new paper entitled Pheno‐Deep Counter: a unified and versatile deep learning architecture for leaf counting

AUG 12, 2018

The Phenotiki team has published a new paper entitled Citizen crowds and experts: observer variability in image-based plant phenotyping

JAN 29, 2018

Invited for a talk on our recent findings (paper currently under review) on observer variaiblity in image-based plant phenotyping at IAMPS 2018, Nottingham (UK)

JAN 22, 2018

New CVPPP 2017 challenge held in conjunction with ICCV 2017. More info here!

JUL 17, 2017

The Phenotiki team has been invited to give a demo at the IPPN workshop at the Forschungszentrum Jülich

MAY 13, 2017
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