Good morning.

Passing this training opportunity along. I hope your day goes well.

Darwin AgBioData Program Coordinator

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Dear AG2PI member,

Agricultural Genome to Phenome Initiative (AG2PI https://urldefense.proofpoint.com/v2/url?u=https-3A__www.ag2pi.org_&d=DwMFAg&c=sJ6xIWYx-zLMB3EPkvcnVg&r=_UtrcPCVZ9vlP9v9rz9qpQ&m=3tpHjErQAVWO5wcEiN3ioSfgdXkN_HLOzHO9q7gj4VY&s=h4cZIFee0FGD_4zUBXnQ-QCY-uMSMoPJBENkYEWWD7c&e=) invites you to register for our next training workshop, “Phenomic Data Processing Using Machine Learning, Distributed Computing & Container Technology”, to be held July 22, 2021, from 1 PM to 3 PM (CDT; GMT -5). In this CyVerse-hosted workshop, the PhytoOracle team will show how to leverage their pipelines to process proximal and remote-sensing data for plant phenotyping. They will showcase two pipelines that leverage distributed computing, machine learning, and container technology. First, they will run through their thermal pipeline, which detects individual plants in thermal images and runs Kmeans clustering to collect individual plant temperature values. Then, they will run through their hyperspectral pipeline, which detects Spectralon reflectance reference targets and calculates plot-level reflectance values.

You can access registration information for the workshop through the AG2PI website: https://www.ag2pi.org/workshops-and-activities/workshop-2021-07/ but you will need to register through CyVerse (if you don’t already have a free CyVerse account, you can create one here https://cyverse.org/discovery-environment). A recording will be made available on the AG2PI workshop webpage soon after the conclusion of the event.

*This workshop will be limited to 50 participants*.

Please share the attached flyer with your colleagues or students and encourage them to attend.

Kind regards,

Nicole

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Nicole Scott, PhD

Program Specialist

Agricultural Genome to Phenome Initiative

Iowa State University

1111 WOI Rd

Ames, IA 50011

office: 1077 Roy J. Carver Co-Lab

phone: 515-294-3945

ag2pi.org https://www.ag2pi.org/

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