While an accurate and continuous record of soil moisture is required for these applications, the available soil moisture data, in practice, is typically fraught with missing values.
While continuously feeding the biomass and maintaining moisture is required in vermi-composting to maintain earthworms, which is not the case in aerobic-composting, but may involve recurring cost on the microbial culture and labor for turning the biomass to maintain aerobic conditions.
During winter, Aloe vera may become dormant, during which little moisture is required.
Increases in temperatures and/or moisture are required for increases in forest productivity and subsequent forest detritus accumulation.
As a result of optimization analysis, 10 kGy irradiation dosage was required for optimum magnitude of all the five response functions, but drying temperature and initial moisture content were required differently for maximum or minimum of response function values.
In order to develop controllers for optimal drying, a model that predicts the moisture concentration is required.
Since the remote sensing of soil moisture is an indirect measurement method and influenced by a large number of factors (e.g. atmospheric correction, vegetation, soil roughness, etc)., a comprehensive validation of the resulting soil moisture products is required.
This keeps the moisture in, which is required to braise properly.
Due to the fact that the model is run over a relatively short period of time (<50 days) during which soil moisture, due to the preceding snowmelt, is relatively high, the respiration model does not include a moisture term, which would be required for seasonal simulations and more variable soil moisture conditions [e.g., Migliavacca et al., 2011b].
In order to provide soil respiration estimates for arbitrary conditions of temperature and soil moisture, more flexible models are required that can handle nonlinear and interacting relations.
