Developing an irrigation dataset for assessment of anthropogenic impacts on terrestrial-atmosphere energy-water coupling using machine learning-based data fusion

Earth & Environmental Sciences

1. machine learning 100%
2. irrigation 76%
3. atmosphere 58%
4. energy 48%
5. water 30%
6. modeling 12%
7. climate 10%
8. weather 10%
9. land surface 8%
10. boundary layer 7%
11. prediction 7%
12. hydrologic cycle 6%
13. in situ 6%
14. agricultural practice 5%
15. project 5%
16. water storage 5%