Open Access
| Issue |
E3S Web Conf.
Volume 661, 2025
The 18th Thai Society of Agricultural Engineering International Conference “Climate Resilient Agriculture for Asia” (TSAE 2025)
|
|
|---|---|---|
| Article Number | 04001 | |
| Number of page(s) | 6 | |
| Section | Energy and Environment | |
| DOI | https://doi.org/10.1051/e3sconf/202566104001 | |
| Published online | 13 November 2025 | |
- K.P. Devkota, M. Devkota, M. Rezaei, R. Oosterbaan, Managing salinity for sustainable agricultural production in salt-affected soils of irrigated drylands. Agric. Syst. 198, 103390 (2022). [Google Scholar]
- G.I. Metternicht, J.A. Zinck, Remote sensing of soil salinity: potentials and constraints. Remote Sens. Environ. 85(1), 1-20 (2003). [Google Scholar]
- K. Ivushkin, H. Bartholomeus, A.K. Bregt, A. Pulatov, M.H. Franceschini, H. Kramer, E.N. Van Loo, V.J. Roman, R. Finkers, UAV based soil salinity assessment of cropland. Geoderma. 338, 502-512 (2019). [Google Scholar]
- J. Cui, X. Chen, W. Han, X. Cui, W. Ma, G. Lizzz, Estimation of soil salt content at different depths using UAV multi-spectral remote sensing combined with machine learning algorithms. Remote Sens. 15(21), 5254 (2023). [Google Scholar]
- J. Hu, J. Peng, Y. Zhou, D. Xu, R. Zhao, Q. Jiang, T. Fuzzz, F. Wang, Z. Shi, Quantitative estimation of soil salinity using UAV-borne hyperspectral and satellite multispectral images. Remote Sens. 11(7), 736 (2019). [Google Scholar]
- J. Zhai, N. Wang, B. Hu, J. Han, C. Feng, J. Peng, D. Luo, Z. Shi, Estimation of Soil Salinity by Combining Spectral and Texture Information from UAV Multispectral Images in the Tarim River Basin, China. Remote Sens. 16(19), 3671 (2024). [Google Scholar]
- W. Zhao, C. Zhou, C. Zhou, H. Ma, Z. Wang, Soil salinity inversion model of oasis in arid area based on UAV multispectral remote sensing. Remote Sens. 14(8), 1804 (2022). [Google Scholar]
- M. A. Bermeo, A. Garcia Solôrzano, H. Pacheco Gil, Model for estimating soil chemical properties with RGB drone images. Enfoque UTE. 15(4), 19–26 (2024). [Google Scholar]
- L. Xu, H. Ma, Z. Wang, Soil salinity and soil water content estimation using digital images in coastal field: a case study in Yancheng City of Jiangsu Province, China. Chin. Geogr. Sci. 32(4), 676-685 (2022). https://doi.org/10.1007/s11769-022-1293-1. [Google Scholar]
- H. Yao, R. Qin, X. Chen, Unmanned aerial vehicle for remote sensing applications—A review. Remote Sens. 11(12), 1443 (2019). [Google Scholar]
- C. Ballester, J. Brinkhoff, W.C. Quayle, J. Hornbuckle, Monitoring the effects of water stress in cotton using the green red vegetation index and red edge ratio. Remote Sens. 11(7), 873 (2019). [Google Scholar]
- L. Wan, Y. Li, H. Cen, J. Zhu, W. Yin, W. Wuzzz, H. Zhu, D. Sun, W. Zhou, Y. Hezzz, Combining UAV-based vegetation indices and image classification to estimate flower number in oilseed rape. Remote Sens 10(9), 1484 (2018). [Google Scholar]
- R. Muangprakhon, S. Kaewplang, Estimation of paddy rice plant height using UAV remote sensing. Eng. Access. 7(2), 93-97 (2021). [Google Scholar]
- G. Wei, Y. Li, Z. Zhang, Y. Chen, J. Chen, Z. Yao, C. Lao, H. Chen, Estimation of soil salt content by combining UAV-borne multispectral sensor and machine learning algorithms. PeerJ. 8, e9087 (2020). [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

