Hyperspectral monitoring of maize leaves under copper stress at different growth stages-Reference-Cited by-同舟云学术

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Hyperspectral monitoring of maize leaves under copper stress at different growth stages

Published:2020-02-06 Issue:4 Volume:11 Page:343-352
ISSN:2150-704X
Container-title:Remote Sensing Letters
language:en
Short-container-title:Remote Sensing Letters

Author:

Wang Min¹²,Yang Ke-Ming¹,Zhang Wei³

Affiliation:

1. College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing, People’s Republic of China

2. North China University of Science and Technology, Tangshan, Hebei, People’s Republic of China

3. School of Geography and Ocean Sciences, Nanjing University, Nanjing, People’s Republic of China

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Earth and Planetary Sciences (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2020.1716408

Reference21 articles.

1. Hyperspectral Imaging: A Review on UAV-Based Sensors, Data Processing and Applications for Agriculture and Forestry

2. Ecological risk assessment of heavy metals in salt-affected soils in the Natura 2000 area (Ciechocinek, north-central Poland)

3. Spatial distribution and risk assessment of metals in agricultural soils

4. Low-Complexity Least-Squares Dynamic Synchrophasor Estimation Based on the Discrete Fourier Transform

5. Study of heavy metal contamination in river floodplains using the red-edge position in spectroscopic data

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Phenylpropanoid-rich maize root extract serves as a natural antidepressant;Phytomedicine;2024-10

2. Increased ascorbic acid synthesis by overexpression of AcGGP3 ameliorates copper toxicity in kiwifruit;Journal of Hazardous Materials;2023-10

3. PIOSL: An improved version of PROSPECT model for simulating leaf optical properties by considering leaf internal structural variations;Computers and Electronics in Agriculture;2023-08

4. Proximal hyperspectral sensing of abiotic stresses in plants;Science of The Total Environment;2023-02

5. Application of Visible/Near-Infrared Spectroscopy and Hyperspectral Imaging with Machine Learning for High-Throughput Plant Heavy Metal Stress Phenotyping: A Review;Plant Phenomics;2023-01

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