Application of UAV Multisensor Data and Ensemble Approach for High-Throughput Estimation of Maize Phenotyping Traits
Meiyan Shu, Shuaipeng Fei, Bingyu Zhang, Xiaohong Yang, Yan Guo, Baoguo Li, Yuntao Ma
Abstract
) of the optimal validation results were 0.852, 0.888, and 0.929 for LAI, FW, and DW, respectively. Therefore, the combination of UAV-based multisource data and ensemble learning model could accurately estimate phenotyping traits of breeding maize at plot scale.
Topics & Concepts
Multispectral imageRandom forestRGB color modelArtificial intelligenceComputer scienceSupport vector machinePattern recognition (psychology)Remote sensingGeographyRemote Sensing in AgricultureSmart Agriculture and AISpectroscopy and Chemometric Analyses