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The Application of UAV-Based Hyperspectral Imaging to Estimate Crop Traits in Maize Inbred Lines
- Source :
- Plant Phenomics, Vol 2021 (2021), Plant Phenomics
- Publication Year :
- 2021
- Publisher :
- American Association for the Advancement of Science (AAAS), 2021.
-
Abstract
- Crop traits such as aboveground biomass (AGB), total leaf area (TLA), leaf chlorophyll content (LCC), and thousand kernel weight (TWK) are important indices in maize breeding. How to extract multiple crop traits at the same time is helpful to improve the efficiency of breeding. Compared with digital and multispectral images, the advantages of high spatial and spectral resolution of hyperspectral images derived from unmanned aerial vehicle (UAV) are expected to accurately estimate the similar traits among breeding materials. This study is aimed at exploring the feasibility of estimating AGB, TLA, SPAD value, and TWK using UAV hyperspectral images and at determining the optimal models for facilitating the process of selecting advanced varieties. The successive projection algorithm (SPA) and competitive adaptive reweighted sampling (CARS) were used to screen sensitive bands for the maize traits. Partial least squares (PLS) and random forest (RF) algorithms were used to estimate the maize traits. The results can be summarized as follows: The sensitive bands for various traits were mainly concentrated in the near-red and red-edge regions. The sensitive bands screened by CARS were more abundant than those screened by SPA. For AGB, TLA, and SPAD value, the optimal combination was the CARS-PLS method. Regarding the TWK, the optimal combination was the CARS-RF method. Compared with the model built by RF, the model built by PLS was more stable. This study provides guiding significance and practical value for main trait estimation of maize inbred lines by UAV hyperspectral images at the plot level.
- Subjects :
- 0106 biological sciences
010504 meteorology & atmospheric sciences
Multispectral image
Botany
Sampling (statistics)
Hyperspectral imaging
Plant culture
QH426-470
01 natural sciences
Random forest
SB1-1110
Crop
Inbred strain
Kernel (statistics)
QK1-989
Partial least squares regression
Genetics
Agronomy and Crop Science
010606 plant biology & botany
0105 earth and related environmental sciences
Mathematics
Remote sensing
Research Article
Subjects
Details
- Language :
- English
- ISSN :
- 26436515
- Volume :
- 2021
- Database :
- OpenAIRE
- Journal :
- Plant Phenomics
- Accession number :
- edsair.doi.dedup.....b29a8d638c1f4af721fc547f399d7390