Developing an Affordable Plant Research Platform using the Farmbot (automated farming robot)

$9,000
Pledged
100%
Funded
$8,985
Goal
10
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  • $9,000
    pledged
  • 100%
    funded
  • 10
    days left

About This Project

Phlox is highly susceptible to powdery mildew, impacting plant health and increasing fungicide use. While resistance varies between varieties, the molecular mechanisms of age-related resistance are poorly understood due to a lack of affordable phenotyping tools. This research will develop open-source, scalable phenotyping platforms using Phlox as a model, integrating tools like FarmBot to create accessible methods for studying complex traits and advancing plant science.

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What is the context of this research?

Phlox is an important horticultural crop, but many cultivars are highly susceptible to the fungal pathogen, powdery mildew (Erysiphe cichoracearum)(https://archive.org/embed/herb... ). The disease manifests as powdery growth on leaves, flowers, and stems, diminishing photosynthesis and ornamental value. It is more common on the abaxial leaf surface, but leaf curling complicates high-throughput phenotyping (https://doi.org/10.1094/PDIS-1...). In spite of many cultivars having been assessed for resistance, the molecular mechanisms of ontogenic resistance remain poorly understood (https://doi.org/10.1094/PHYTO....). Additionally, relatively few wild species have been tested, leaving gaps in understanding the genetic basis of resistance across the genus.

What is the significance of this project?

This study will conduct the first genome-wide association study for powdery mildew resistance in Phlox, enabled by advancements in high-throughput phenotyping via our improvement of the FarmBot system. We will address challenges in agricultural production and more broadly, plant science research. Of equal importance in this project is the promotion of accessible science for underrepresented groups through collaboration with the Michigan State University 4-H Children's Garden and MSU extension. The developed technologies and methods will increase access to low-cost precision agriculture systems, empowering scientists worldwide with affordable tools to tackle new research questions.

What are the goals of the project?

We have identified three main goals for this project. First, the FarmBot platform will be enhanced with flexible protocols and imaging systems to enable automated monitoring of powdery mildew progression. This approach will allow reliable, reproducible, high-throughput phenotyping at the whole-plant level. Second, using a genome wide association study (GWAS) the genetic basis of powdery mildew resistance in Phlox paniculata will be elucidated. Last, rarely cultivated Phlox species will be assessed for resistance potential and using transcriptomics we will explore whether resistance genes identified in the GWAS are expressed. Taxa with resistance will be incorporated in future breeding efforts.

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FarmBot provides an affordable, high-throughput solution for automating plant care and data collection. By integrating FarmBot with our BAIR imaging system, we can precisely monitor plant growth, disease progression, and resistance over time while minimizing the time required for routine plant care. It will enable consistent and reproducible data collection, reducing human error and allowing for larger-scale studies. FarmBot’s open-source design aligns with our goal of creating accessible research tools, fostering innovation, and lowering barriers for future plant research. Purchasing additional FarmBots will significantly enhance the efficiency and scope of our study, helping to uncover molecular mechanisms behind ontogenic resistance and ultimately improve disease management in horticultural crops.

Endorsed by

This is an innovative idea for an age-old horticultural problem. Powdery mildew is an accepted part of Phlox cultivation, and chemical and cultural controls are just expected. But, understand the underlying reasons for susceptibility can lead to innovations beyond traditional Mendelian breeding methods for Phlox. Very cool!
This project will help solve a major horticulture problem. I'm excited to endorse it.
I am happy to endorse this innovative project from these researchers. By testing open-source, scalable phenotyping platforms and leveraging tools like FarmBot, this research provides an accessible and cost-effective framework for studying complex traits. This work not only offers practical solutions for improving Phlox health and reducing fungicide use but also has far-reaching implications for broader agricultural and horticultural research, driving progress in plant science and sustainable practices.

Project Timeline

Our goal is to have three greenhouse units and three outdoor units in the MSU Horticulture Gardens. Identification of hardware and software limitations will be completed using the greenhouse FarmBots during the 2025 growing season while growing stock Phlox seeds and cuttings. Fall 2025 we will begin developing hardware and software improvements for implementation during the GWAS (Genome Wide Association Study) and species which will take place the following two years.

Dec 02, 2024

Project Launched

Jan 31, 2025

Greenhouse FarmBots assembled

Aug 01, 2025

Current hardware and software limitations of FarmBot identified

Nov 01, 2025

Outdoor FarmBots assembled

Apr 01, 2026

GWAS (Genome Wide Association Study) begins

Meet the Team

Mason McNair
Mason McNair
Assistant Professor of Horticulture & Curator of MSU Horticulture Gardens

Affiliates

Michigan State University
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Matt Johnson
Matt Johnson
Associate Professor

Affiliates

Texas Tech University
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Jazlyn Salazar
Jazlyn Salazar
Undergraduate Researcher

Affiliates

Texas Tech University
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Mason McNair

My lab (Plants X Tech) focuses on incorporating cutting edge technology into established methods of plant science research. Our current focus is on the development of high-throughput, low-cost methods that leverage technologies like 3D printing. By creating innovative tools and resources, we aim to empower researchers and conservationists with the means to tackle challenges in a resource-efficient manner. By involving my students in projects that incorporate a wide range of data sources, collection methods, and bespoke solutions, I aim to nurture the next generation of scientists with a profound appreciation for collaboration, exploratory methods, and biodiversity in plant science.

Matt Johnson

My lab (PEAT: Plants: Everything About Them) is focused on the origin and maintenance of biodiversity in plants, using high throughput DNA sequencing methods. Our lab pushes research forward by making previously intractable questions more feasible - either by reducing per-sample costs through innovative use of lab robotics, the use of scientific collections (e.g. herbarium specimens) in research, or through development of new open source bioinformatics pipelines.

Lab Notes

Nothing posted yet.

Additional Information

As much as we would love to receive the full funding amount, even enough funding for a single FarmBot will enable us to begin this research project in a meaningful way.


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