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Computomics: Discussions On Innovations To Drive Advanced Agriculture Solutions
Computomics
74 episodes
1 week 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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Plant Breeding’s Moonshot: Inside the Next Generation of Plant Breeding
Computomics: Discussions On Innovations To Drive Advanced Agriculture Solutions
26 minutes 59 seconds
1 year ago
Plant Breeding’s Moonshot: Inside the Next Generation of Plant Breeding

This episode delves into the world of plant breeding with Professor Mark Cooper. Mark shares insights from his extensive experience in the industry, highlighting the importance of data-driven approaches, computational power, and strategic partnerships. The conversation also sheds light on the ongoing collaboration between Mark's research team and Computomics, focusing on leveraging advanced data analytics and AI to accelerate breeding processes. The episode concludes with a discussion on the future of plant breeding, emphasizing the potential for rapid technological advancements and the importance of data-driven approaches.Professor Mark Cooper is Chair of Prediction Based Crop Improvement at The University of Queensland, and a global leader in quantitative genetics and plant breeding. His work involves integrating genomic prediction and crop growth models into an ‘end to end’ framework for crop improvement. A quantitative geneticist by training, Professor Cooper spent 20 years working with industry in the United States and as CEO of his own consultancy firm Zenrun42, before returning to UQ to build upon the critical mass of predictive agricultural expertise in QAAFI and the wider university.

More:
https://www.plantsuccess.org/
Genotype by Environment by Management (GxExM) Symposium III



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?