\u201cA Low-Cost Automated System for High-Throughput Phenotyping of Single Oat Seeds\u201d with James Clohessy.
A Rube Goldberg machine is a machine intentionally designed to complete a simple task using overly complicated steps. James Clohessy and his team are doing just the opposite. Using machine learning, web cameras, open software, and photogrammetry techniques, they\u2019re developing low cost, high-throughput, high efficiency phenotyping systems. With these systems, researchers can save hours of time that would normally be spent on taking individual seed measurements by hand, such as height, width, and color, all while gaining greater detail about the seed such as volume and density.
Listen in to learn more about James\u2019 new system as well as:
If you would like more information about this topic, this episode\u2019s paper is available here: https://doi.org/10.2135/tppj2018.07.0005\xa0
This paper is always freely available.
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If you would like to reach out to James, you can find him here:
jameswclohessy@gmail.com
https://www.linkedin.com/in/jameswclohessy/
@ufifasnfrec
Resources
CEU Quiz: http://www.agronomy.org/education/classroom/classes/814\xa0
Cornell Plant Breeding and Genetics Section: https://plbrgen.cals.cornell.edu/
Paul Armstrong: https://www.ars.usda.gov/plains-area/mhk/cgahr/spieru/people/paul-armstrong/
Dr. Guo\u2019s Easy PPC program: http://park.itc.u-tokyo.ac.jp/Field-Phenomics/ninolab/PhenotypingTools/EasyPCC.html
HeatSync Labs: https://www.heatsynclabs.org/
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