Sougrakpam Roma Devi on Muck Rack

Sougrakpam Roma Devi

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Monthly soil temperature modelling across different depths using machine learning algorithms in northeast India

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By Deepak Jhajharia, Subhankar Ghosh, Muhammad Touseef, Mainak Ghosh, Shivam Gupta, Ghanshyam T. Patle, Abhaya Kumar Pradhan, Kiran Bala Behura, Laishram Kanta Singh, Sougrakpam Roma Devi, Amulya Kumar Mohanty, Ghanashyam Singh Yurembam, T. Loidang Chanu
| Nature
Abstract Soil temperature is one of the most crucial factors for agricultural systems, which affects various hydrogeological processes in soil. Soil temperature is a frequently used variable in machine learning (ML) approaches for modelling those intricate processes. In regions with limited data, such as northeast India, soil temperature is a meteorological variable that is rarely available.
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