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Jose C Tovar1, J Steen Hoyer1,2, Andy Lin1

  • 1Donald Danforth Plant Science Center 975 North Warson Road St. Louis Missouri 63132 USA.

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Summary
This summary is machine-generated.

Researchers developed low-cost imaging platforms using Raspberry Pi computers for plant phenomics. These accessible systems enable high-throughput phenotyping and quantification of plant diversity, making advanced research more attainable.

Keywords:
Raspberry Piimaginglow‐cost phenotypingmorphology

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Area of Science:

  • Plant biology
  • Agricultural technology
  • Bioinformatics

Background:

  • Image-based phenomics offers powerful insights into plant diversity.
  • Commercial high-throughput phenotyping platforms are often prohibitively expensive for many research programs.
  • Accessible imaging solutions are needed to democratize plant phenotyping.

Purpose of the Study:

  • To develop and present low-cost imaging platforms for plant phenomics.
  • To demonstrate the utility of microcomputers and cameras for accessible image acquisition.
  • To provide a protocol for quantifying plant diversity using affordable technology.

Main Methods:

  • Utilized low-cost Raspberry Pi microcomputers and cameras for image data acquisition.
  • Designed and implemented three distinct Raspberry Pi-controlled imaging platforms.
  • Applied open-source image processing software, such as PlantCV, for trait extraction.

Main Results:

  • Successfully managed and captured plant image data using Raspberry Pi systems.
  • Developed platforms suitable for seed and shoot imaging applications.
  • Demonstrated that acquired images yield quantifiable plant traits (shape, area, height, color).

Conclusions:

  • The described low-cost platforms facilitate image acquisition for quantifying plant diversity.
  • These platforms, combined with open-source software, offer a viable, affordable solution for high-throughput phenomics.
  • The protocol supports the integration of advanced phenotyping into diverse research settings.