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Welcome to the web home for Field, Lab, Earth, the podcast from the American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America. The podcast all about past and present advances in agronomic, crop, soil, and environmental sciences, our show features timely interviews with our authors about research in these fields.

Field, Lab, Earth releases on the third Friday of each month in addition to the occasional bonus episode. If you enjoy our show, please be sure to tell your friends and rate and review. If you have a topic, author, or paper you would like featured or have other feedback, please contact us on Twitter @fieldlabearth or use the email icon below. You can join our newsletter to receive notifications about new episodes and related resources here.

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Jun 21, 2019

“A Low-Cost Automated System for High-Throughput Phenotyping of Single Oat Seeds” 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’re 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’ new system as well as:

  • What are phenotyping and photogrammetry?
  • What are some of the applications of knowing seed size, color, and weight?
  • What are some of the limitations of high-throughput phenotyping?
  • What are some of the future applications of these machine learning systems?

If you would like more information about this topic, this episode’s paper is available here: 

This paper is always freely available.

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