Sentence examples for soil estimation from inspiring English sources

Simulation results show that the soil estimation algorithm can accurately and efficiently identify key soil parameters for loose sand.

Uranium soil estimation maps were manually classified to define three distinct uranium concentrations and an associated use recommendation over broad geographic areas.

Furthermore, a novel algorithm which is composed of Kalman filter (KF) and improved strong tracking filter (STF) is developed for online track-soil estimation and named as KF ISTF.

Since 'strong' rather than 'weak' observability of the system ensures better performance of Kalman based estimators to develop a reliable soil moisture estimation algorithm, the main objective of this study is to discuss observability analysis of this nonlinear agro-hydrological system.

This relationship may be used for soil moisture estimation.

Soil moisture estimation is one of the many potential applications of the GPS-R technique.

However, most of the studies on stream monitoring focus on run-off and soil erosion estimation.

Among other things, both these factors are of paramount importance for preliminary soil reserve estimation.

The accuracy of L factor determines the precision of soil loss estimation with USLE.

An improvement in SMOS soil moisture estimation was observed from the processor versions 309 to 551.

For evaluating the performance of WRF for soil moisture estimation, three domains are taken into account.