Machine learning for high-throughput field phenotyping and image processing provides insight into the association of above and below-ground traits in cassava (Manihot esculenta Crantz)

摘要

Field trial site and remote sensing platform. a Trial one and two were conducted at the International Center for Tropical Agriculture (CIAT). b Unmanned aerial vehicle (UAV), DJI S1000s. c Multispectral camera, Micasense RedEdge 3. d Arduino nano. e Ground Control Point (GCPs). f GCPs installed in trial one. g RTK-GPS