Remote Sensing of Maize Plant Height at Different Growth Stages Using UAV-Based Digital Surface Models (DSM)
نویسندگان
چکیده
Plant height of maize is related to lodging resistance and yield highly heritable but also polygenic, thus an important trait in breeding. Various manual methods exist determine the plant maize, yet they are labor-intensive time consuming. Therefore, we established digital surface models (DSM) based on RGB-images captured by unmanned aerial vehicle (UAV) at five different dates throughout growth period rapidly estimate 400 genotypes. The UAV-based estimation (PHUAV) was compared measurement from ground highest leaf (PHL), tip manually straightened (PHS) and, final date, top tassel (PHT). best results were obtained for estimating both PHL (0.44 ? R2 0.51) PHS (0.50 0.61) 39 68 days after sowing (DAS). After calibration mean absolute percentage error (MAPE) between PHUAV a range 12.07% 19.62%. It recommended apply 0.2 m average maturity before plants start senesce change color.
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ژورنال
عنوان ژورنال: Agronomy
سال: 2022
ISSN: ['2156-3276', '0065-4663']
DOI: https://doi.org/10.3390/agronomy12040958