Transferable spectral models for high-throughput estimation of winter wheat net photosynthetic rate: a cross-scale approach using leaf and UAV hyperspectral data.
- DOI
- 10.3389/fpls.2026.1948151
- Published
- 2026
- Container
- Frontiers in plant science
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fpls.2026.1948151,
title = {Transferable spectral models for high-throughput estimation of winter wheat net photosynthetic rate: a cross-scale approach using leaf and UAV hyperspectral data.},
author = {Dai M and Gu L and Zhang B and Bao X and Ren Y and Xiong S and Zhen W and Gu X},
year = {2026},
journal = {Frontiers in plant science},
doi = {10.3389/fpls.2026.1948151},
url = {https://doi.org/10.3389/fpls.2026.1948151}
}RIS
TY - JOUR TI - Transferable spectral models for high-throughput estimation of winter wheat net photosynthetic rate: a cross-scale approach using leaf and UAV hyperspectral data. AU - Dai M AU - Gu L AU - Zhang B AU - Bao X AU - Ren Y AU - Xiong S AU - Zhen W AU - Gu X PY - 2026 JO - Frontiers in plant science DO - 10.3389/fpls.2026.1948151 UR - https://doi.org/10.3389/fpls.2026.1948151 ER -
APA
M, D., L, G., B, Z., X, B., Y, R., S, X., W, Z., & X, G. (2026). Transferable spectral models for high-throughput estimation of winter wheat net photosynthetic rate: a cross-scale approach using leaf and UAV hyperspectral data.. Frontiers in plant science. https://doi.org/10.3389/fpls.2026.1948151
Source records
- pubmed · retrieved 2026-09-25T02:16:16.077Z