National Academy of Agricultural Sciences (NAAS)
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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706 Issues : 12 per year Publisher : Excellent Publishers Email : editorijcmas@gmail.com / submit@ijcmas.com Editor-in-chief: Dr.M.Prakash Index Copernicus ICV 2018: 95.39 NAAS RATING 2020: 5.38 |
The STM2 is a simple and potentially useful tool for modeling soil moisture and temperature conditions to plan agricultural management operation. The quality of STM2 soil moisture estimates varies with soil textural groups. The model worked best with the Sandy and Loamy soil textural groups, which had the lowest RMSE values and the highest d indices. Its moisture estimates were only moderately good for the Clayey soil, and they were unacceptable for the Gravelly soil. Addition of data on the percentage of coarse fragments in the soil or PTFs based on gravelly soil types would probably improve soil moisture prediction. The quality of soil temperature estimates was not as dependent on the soil textural group. In fact, the performance of the model was better for temperature than moisture at all soil types. The quality of soil moisture estimates also generally decreased with increasing depth. Weeds germinate at shallow depths; thus, the model was not designed to estimate conditions at greater depths.
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