From the "705: ML-Powered Precision Agriculture", in which @JonKrohnLearns engages in a riveting conversation with Feroz Sheikh (Chief Information Officer and Chief Digital Officer at Syngenta Group, and former Global Head of Engineering and Data Science), Jeremy Groeteke (Head of Computational Agronomy, leading Syngenta Group's digital agronomy and data science initiatives), and Thomas Jung (Syngenta’s Head of R&D for IT, spearheading the digitization of science for plant and planetary protection). Together, they unravel the transformative role of data science in agriculture. Delve into computational agronomy's potential to reinvent age-old farming methodologies and address worldwide issues like food adequacy and climate variation. With keen insights on precision farming, satellite imagery, and the promising horizon of automated farming, this episode illuminates the dynamic synergy between tech and Mother Nature.
Watch, listen to, or read the full episode at [ Ссылка ]
What is Generative Chemistry?
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SuperDataSciencePodcastSuper Data Science PodcastData ScienceJon Krohnsyngentaml powered precision agricultureml in agricultureprecision agriculturecomputational agronomyFeeding the World with ML-Powered Precision Agricultureai ml in agriculturegenerative chemistrygenerative ai chemistrydata science in agriculturedesigning ML models for agricultureML-Powered Precision Agricultureferoz sheikhjeremy groetekethomas jungsyngenta group