A Smart Stochastic Model For Predicting Soil Moisture Under Changing Climate
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Vinit, Binayak, and Amor are research scientists at Texas A&M University

                       

A Smart Stochastic Model For Predicting Soil Moisture Under Changing Climate

Soil sustains life by the virtue of the nutrients and moisture it holds. Predicting the dynamics of soil moisture is of great importance for agricultural or water resource management. However, predicting soil moisture is a challenging task given the requirement of large-scale, complex numerical models, which are based on dataset like initial conditions, soil texture, vegetation, atmospheric forcings (radiation, wind, temperature, precipitation, etc.), topography, etc. Using this dataset and simulating accurate estimates of soil moisture for a sustained period requires...

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