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The irrigation scheduling was based on soil moisture and rooting depth monitoring.
While the ability of the ESI to capture shorter term droughts is equal or superior to the Palmer Drought Severity Index (PDSI) when characterizing droughts based on soil moisture and streamflow thresholds, the accuracy of the ESI was less efficient in the case of severe droughts.
Automation of irrigation systems, based on soil moisture sensing (SMS) has the potential to provide maximum water-use efficiency (WUE).
Studies in other pecan growing areas have shown that the water use efficiency can be improved significantly and precious freshwater can be saved by scheduling irrigation based on soil moisture conditions.
Shallow soil moisture is further partitioned into evapotranspiration, interflow, deep percolation, or storage based on soil moisture capacity, hydraulic conductivity, potential ET, and land cover specific ET coefficients.
Based on soil moisture data, Neves et al. have selected three sampling periods for plant materials; accordingly, plants with moisture values ranging from 0.29 to 0.28 m m−3 were selected for the control group, and those with values ranging from 0.20 to 0.19 and 0.17 to 0.16 m m−3 were selected for the water deficit group [ 17].
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In our study, second-order and first order regressions were fit the best models to predict CO2 flux at various slope positions based, respectively, on soil moisture content and soil temperature, with respective R2 ranging from 0.532 to 0.661 and 0.234 to 0.448.
In this study, a soil moisture scaling approach is proposed to estimate directly the correct CRS soil moisture based on the soil moisture profile measured at least in one position within the field.
The suggested approach can be used for (i) data processing, including subtracting measurement noise (ii) identification of factors controlling soil water dynamics, (iii) assessing the mean signal transformation in heterogeneous soils based on observed soil moisture time series, and (iv) model building, calibration and evaluation.
The relationship between residual Rs (or Rh) based on soil temperature and observed Rs (or Rh) and soil moisture could be well fitted in a quadratic model.
The agricultural drought was quantified using soil water deficit index (SWDI) derived based on available soil moisture and basic soil water parameters.
More suggestions(17)
based on soil test
based on soil elevation
based on sunlight moisture
based on soil classification
based on soil testing
based on soil blood
based on soil survey
based on soil development
based on soil colour
based on soil pH
based on soil gas
based on soil friction
based on soil pedon
based on product moisture
based on soil cover
based on soil vapor
based on soil temperature
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