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Paper record

High-Throughput Field Phenotyping Using Unmanned Aerial Vehicles (UAVs) for Rapid Estimation of Photosynthetic Traits.

Jingshan Lu · Qimo Qi · Gangjun Zheng · Jan U.H. Eitel · Qiuyan Zhang · Jiuyuan Zhang · Sumei Chen · Fei Zhang · Weimin Fang · Zhiyong Guan · Fadi Chen

Plant Phenomics · 1 Jun 2025 · 10.1016/j.plaphe.2025.100045

Abstract

​= ​0.63). Our findings demonstrate that UAV-acquired multispectral data can effectively map photosynthetic traits with high spatial resolution, establishing it as a valuable tool for rapid phenotyping and spatial assessment of photosynthetic capacity in crop fields.

Code and data availability

The paper's authors publicly deposited the calibration and validation datasets of UAV-based spectral indices and photosynthetic trait measurements (Vcmax/Jmax) in a GitHub repository, directly reproducing this paper's phenotyping measurements and analysis inputs.

Datasetpublic

The calibration and validation datasets of UAV-based spectral indices and photosynthesis supporting our results are available in the GitHub repositories at https://github.com/ljs19930709/UAV-and-Photosynthesis-dataset-.git .

Open resource ↗https://github.com/ljs19930709/UAV-and-Photosynthesis-dataset-.git · lines:107-117