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Computomics: Discussions On Innovations To Drive Advanced Agriculture Solutions
Computomics
73 episodes
3 days ago
Discussions with Computomics and guest speakers on topics covering a wide range from bioinformatics, agriculture, farming, crops, food, to specific research projects. How can new technologies like machine learning facilitate solutions for global food challenges?
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Nature
Science
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All content for Computomics: Discussions On Innovations To Drive Advanced Agriculture Solutions is the property of Computomics and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Discussions with Computomics and guest speakers on topics covering a wide range from bioinformatics, agriculture, farming, crops, food, to specific research projects. How can new technologies like machine learning facilitate solutions for global food challenges?
Show more...
Nature
Science
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From Fields to Classrooms: Decoding Maize Diseases and Cultivating Scientific Minds
Computomics: Discussions On Innovations To Drive Advanced Agriculture Solutions
26 minutes 25 seconds
1 year ago
From Fields to Classrooms: Decoding Maize Diseases and Cultivating Scientific Minds

In this episode Addie Thompson, Assistant Professor in the Plant, Soil & Microbial Sciences Department at Michigan State University, discusses her research on disease resistance to tar spot, a fungal pathogen affecting maize. Learn about different modeling prediction techniques and data collection approaches, ranging from manual measurements to high-throughput lidar data obtained via drones. Emphasizing an interdisciplinary approach, Thompson underscores the pivotal role of collaboration in staying at the forefront of research. Additionally, Addie touches on her educational approach in science, teaching her students on how to think about science, how to ask the right questions, and then how to work together in a collaborative group and how to communicate.

Addie Thompson is an Assistant Professor in the Plant, Soil & Microbial Sciences Department at the Michigan State University, and affiliated with the Plant Resilience Institute and NRT-IMPACTS. She earned a BS in Genetics from Iowa State University in 2008 and a PhD in Plant Breeding and Molecular Genetics from the University of Minnesota in 2014. Prof. Thompson’s research focuses on using quantitative genetics, high-throughput phenotyping, and statistical and physical models to predict how varieties will grow in diverse and challenging environments, and to discover genes contributing to these differences.

Link: https://www.thompsonmaizelab.org/

Computomics: Discussions On Innovations To Drive Advanced Agriculture Solutions
Discussions with Computomics and guest speakers on topics covering a wide range from bioinformatics, agriculture, farming, crops, food, to specific research projects. How can new technologies like machine learning facilitate solutions for global food challenges?