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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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Breeding Success: How Computomics Partners With Breeders
Computomics: Discussions On Innovations To Drive Advanced Agriculture Solutions
18 minutes 42 seconds
3 months ago
Breeding Success: How Computomics Partners With Breeders

In this Computomics podcast episode, Computomics Chief Commercial Officer Juan Manuel Montes shares insights into his passion for learning and his recent experience at the International Seed Federation conference in Istanbul. He discusses industry challenges like climate change and consumer demands, highlighting how Computomics supports plant breeders with technologies like xSeedScore and Pantograph. These tools accelerate variety development and genomic analysis. Juan emphasizes the company’s customer-centric approach, tailoring solutions for clients of all sizes through strategic collaboration. The episode wraps up the current season, with new content returning in September.

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?