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Computomics: Discussions On Innovations To Drive Advanced Agriculture SolutionsAuthor: Computomics
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? Language: en Contact email: Get it Feed URL: Get it iTunes ID: Get it Trailer: |
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Agriculture, AI, and the Search for Real-World Impact
Episode 11
Wednesday, 15 July, 2026
If you are interested in the future of agri-food innovation, this episode offers a clear view of where the sector stands today: more practical, more disciplined, and more focused on technologies that can prove their value in the real world.In the final episode of Season 7 of the Computomics Podcast, we speak with Louisa Burwood-Taylor, Chief Communications and Intelligence Officer at AgFunder, a global venture capital investor working at the intersection of agri-food, AI, biology, climate, and deep tech.Louisa explains why agriculture remains one of the most challenging sectors for startups. A technology may be scientifically strong and technically impressive, but it still has to work across different soils, crops, climates, production systems, and growing cycles. In agriculture, innovation only matters if it can create real value for growers, supply chains, and the wider food system.The episode also looks at the growing role of multi-sector platforms, corporate partnerships, biologicals, robotics, physical AI, and the connection between agriculture, nutrition, and human health. From precision robotics to self-driving labs, Louisa shares a practical and optimistic perspective on where agri-food innovation is heading next.Companies and people mentioned:AgFunder, Verdant Robotics, Gabe Sibley (Verdant Robotics), Reservoir Farms, Atinary, Bayer, John Deere, and Bear Flag Robotics.Louisa Burwood-Taylor on LinkedInAgfunderAgfunder News
