Integrating UAV and UGV Phenotyping with Environmental Data to Model Maize Canopy Architecture and Performance
Integrating UAV and UGV Phenotyping with Environmental Data to Model Maize Canopy Architecture and Performance
Luke Gregory1,2, Chloe Tilley3, Seungjoon Lee4, Francisco Agosto-Perez5, Ruiming Du6, Tao Han7, Erin Farmer5, Liam Wickes-Do5, Peter Michael8, Zeqi Gu8, Ruyu Yan8, Nick Lepak9, Cinta Romay10, Edward Buckler5,9, Abe Davis8, Xiangtao Xu7, Yu Jiang11, Michael Gore5 and Ying SUN4, (1)Cornell University, School of Integrative Plant Science, Plant Breeding and Genetics Section, Ithaca, NY, United States, (2)Cornell University, School of Integrative Plant Science, Soil and Crop Sciences Section, Ithaca, NY, United States, (3)Texas A&M University, Department of Soil and Crop Sciences, College Station, United States, (4)Cornell University, School of Integrative Plant Science, Soil and Crop Sciences Section, Ithaca, United States, (5)Cornell University, School of Integrative Plant Science, Plant Breeding and Genetics Section, Ithaca, United States, (6)Cornell University, Department of Biological and Environmental Engineering, Ithaca, United States, (7)Cornell University, Ecology & Evolutionary Biology, Ithaca, United States, (8)Cornell University, Department of Computer Science, Ithaca, United States, (9)United States Department of Agriculture-Agricultural Research Service, Ithaca, United States, (10)Cornell University, Institute for Genomic Diversity, Ithaca, United States, (11)Cornell University, Cornell Agritech, Horticulture Section, Geneva, NY, United States