Ashraf ALDabbas

Deep learning prediction of multi-depth soil temperature using climatic variables in eastern Hungary

Soil temperature is a critical soil-health indicator that regulates biogeochemical processes, water balance, and carbon cycling under a changing climate. Accurate prediction of soil temperature enhances our ability to manage soil functions, sustain crop production, and mitigate climate-related risks. In this study, alo...