Funder
National Science and Technology Council
Ministry of Science and Technology, Taiwan
Reference64 articles.
1. Machine learning to estimate surface soil moisture from remote sensing data;Adab;Water,2020
2. Aerosol and Cloud Laboratory of NCU, 2024.Aerosol and Cloud Laboratory.〈http://aerosol.atm.ncu.edu.tw〉.
3. Aldaba, A.L., Lopez-Torres, D., Campo-Bescós, M.A., López, J.J., Yerro, D., Elosua, C., Arregui, F.J., Auguste, J.L., Jamier, R., Roy, P., López-Amo, M., 2018.Microstructured optical fiber sensor for soil moisture measurements, In: 26th International Conference on Optical Fiber Sensors (2018), Paper WF41, Optica Publishing Group. WF41.10.1364/OFS.2018.WF41.
4. Prediction of soil moisture based on BP neural network optimized search algorithm;An;IOP Conf. Ser.: Earth Environ. Sci.,2021
5. Estimation of hydraulic parameters from the soil water characteristic curve;Angelaki;Sustainability,2023