Enhancing wheat crop physiology monitoring through spectroscopic analysis of stomatal conductance dynamics
Abstract
This paper presents a spectroscopic analysis approach for enhancing wheat crop physiology monitoring through stomatal conductance dynamics.
Citation
@article{cheng2024enhancing,
title={Enhancing wheat crop physiology monitoring through spectroscopic analysis of stomatal conductance dynamics},
author={Cheng, KH and Sun, Zhuangzhuang and Zhong, Wanlu and Wang, Zhihui and Visser, Marco and Liu, Shuwen and Yan, Zhengbing and Zhao, Yingyi and Zhang, Ruinan and Zang, Jingrong and others},
journal={Remote Sensing of Environment},
volume={312},
pages={114325},
year={2024},
publisher={Elsevier}
}
- Posted on:
- January 1, 2024
- Length:
- 1 minute read, 72 words
- See Also:
- PhenoSR: Enhancing organ-level phenotyping with super-resolution RGB UAV imagery for large-scale field experiments
- SenNet: A dual-branch image semantic segmentation network for wheat senescence evaluation and high-yielding variety screening
- OSNet: an oriented instance segmentation network of breeding plot extraction from UAV RGB imagery