Drone Phenotyping and Machine Learning Enable Discovery
Explore drone phenotyping and machine learning techniques for discovering loci regulating daily floral opening in lettuce in this webinar presented by Rongkui Han, a PhD student from the University of California. Delve into the innovative approach of using drones for field phenotyping and learn about image processing methods to analyze floral pixels. Understand the application of Support Vector Machine models and Bayesian statistics in this research. Examine the results showing high correspondence between blocks, phenotypic distribution, and genetic mapping. Investigate the detected QTLs and the relationship between floral opening time and flowering time. Gain insights into extracting floral pixels using machine learning and its implications for plant biology research.