AG2PI Field Day #3 - December 16, 2020

PhytoOracle: A Case Study in Automating Phenotyping

Wednesday December 16, 2020 @ 10:30 AM - 12:00 PM (US Central Time)
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December 16, 2020
10:30 AM - 12:00 PM
(US Central Time)


(Virtual Zoom Meeting)

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Transforming the Way We See Plants

As phenomics increasingly generates higher dimensional datasets, an urgent need to develop and implement robust data processing pipelines is emerging. The University of Arizona is home to the world's largest agricultural robot equipped with RGB, thermal, hyperspectral, and chlorophyll fluorescence cameras as well as a laser line scanner. We developed PhytoOracle to address two key challenges encountered by phenomics research:

  1. Efficient, large-scale image stitching algorithm for high fidelity downstream analysis
  2. Accelerating analyses by leveraging distributed computing resources. PhytoOracle's modularity handles increasing volumes and modalities of data making it easily customizable and scalable.

As a result, PhytoOracle efficiently processes data to extract morphological and physiological parameters over a growing season.

This presentation will focus on applications in plant research but will also include parallels to livestock research.

Field Day Speakers

Emmanuel Gonzalez
Emmanuel Gonzalez
Ariyan Zarei
Ariyan Zarei
Travis Simmons
Travis Simmons
Michele Cosi
Michele Cosi