Assessing accuracy of crop water stress inversion of soil water content all day long-Reference-Cited by-同舟云学术

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Assessing accuracy of crop water stress inversion of soil water content all day long

Published:2024-04-24 Issue:4 Volume:25 Page:1894-1914
ISSN:1385-2256
Container-title:Precision Agriculture
language:en
Short-container-title:Precision Agric

Author:

Zhang Bei,Huang Jialiang,Dai Tianjin,Jing Sisi,Hua Yi,Zhang Qiuyu,Liu Hao,Wu Yuxiao,Zhang Zhitao,Chen Junying

Funder

National Natural Science Foundation of China

Natural Science Foundation in Shaanxi Province of China

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11119-024-10143-y.pdf

Reference50 articles.

1. Ahmad, U., Alvino, A., & Marino, S. (2021). A review of crop water stress assessment using remote sensing. Remote Sensing, 13(20), 4155.

2. Andrews, P. K., Chalmers, D. J., & Moremong, M. (1992). Canopy-air temperature differences and soil water as predictors of water stress of apple trees grown in a humid, temperate climate. Journal of the American Society for Horticultural Science, 117(3), 453–458.

3. Appiah, S. A., Li, J., Lan, Y., Darko, R. O., Alordzinu, K. E., Al, A. A., Asenso, E., Issaka, F., Afful, E. A., Wang, H., & Qiao, S. (2022). Real-time assessment of mandarin crop water stress index. Sensors (Basel), 22, 4018.

4. Aroca, R. (2012). Plant Responses to Drought Stress. Springer.

5. Berni, J. A. J., Zarco, T. P. J., Sepulcre, C. G., Fereres, E., & Villalobos, F. (2009b). Mapping canopy conductance and CWSI in olive orchards using high resolution thermal remote sensing imagery. Remote Sensing of Environment, 113(11), 2380–2388.

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