The objective of this study is to a) develop the methodologies needed to measure moisture content in Switchgrass using electrical resistance meters, b) determine the effects of pressure and probe orientation on moisture content measurement using electrical resistance meters, c) generate moisture content calibration equations for electrical resistance meters using Switchgrass in the senescence growth stage, and d) characterize other methods to measure moisture content of Switchgrass in the windrow.

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In this research, study was made of representative soils of denton County (Texas) with the aim of correlating various soil-moisture factors through experimental analyses. Two accepted hypotheses of soil-moisture relations have been substantiated by experiment with Denton County soils.

This study represents an analysis of comprehensive temperature and moisture content data collected from the anaerobic portion of a bioreactor landfill at the New River Regional Landfill, Florida, USA. The main focus of the study was the analysis of effects of the liquid injection on the temperature inside the landfill. When the leachate or groundwater at lower temperature than the landfilled waste is injected into the landfill, it has an initial cooling effect on the waste until the biological activity, enhanced by the additional moisture, releases heat. This cooling effect was tested in the study to determine whether it could be used to track moisture arrival as an alternative to moisture sensors. First of all, this hypothesis of cooling effect was tested at the injection wells by correlating temperature drops at the injection wells with known injection events. Then the temperature drop events were identified at monitoring locations where temperature and moisture sensors were co-located. The identification step at the monitoring wells was more difficult than in the case of the injection wells because the cooling effect at the injection well is more pronounced than at the monitoring sites, located 7.62 m away from the point of injection. From the analysis it was found out that, overall, the temperature drop at monitoring locations brought about by the injected liquid is a good criterion for tracking the moisture arrival, however only at the first arrival of moisture. Of all of the cases studied, temperature was able to indicate the moisture arrival for 85% of the times at the first injection as opposed to 36% overall. The difference was attributed to the stimulation of biological activity and subsequent heating of the injected liquid as it moves through the waste. Another focus of the research was the estimation of the waste quantity (volume) wetted from the injection. It was assumed that complete mixing takes places between injected liquid and the moisture already present in the waste and that the temperature of the injected liquid is the ambient temperature. According to the results, there was a significant gap between the expected and the actual wetted volume. The waste volume actually wetted was ≤ 1% to 9% of the total waste volume expected to be wetted. Also studied was the effect of ambient temperature on the waste temperature. It was observed that the ambient temperature has no effect on the global temperature inside a bioreactor landfill even at a shallow depth of 4.6 m. While analyzing the trend of waste temperature inside the landfill, liquid injection was found to lead to an increase in temperature.

Site-specific irrigation decisions require information about variations in soil moisture within the rooting depth actively being used by the crop. Producers have been using soil moisture sensors to make irrigation decisions, and it has been shown that soil moisture sensors can reduce water usage without reducing yields. There are still unanswered questions on improving efficiency with soil moisture sensors based on density and location of sensors within a field. This three-year study uses sensors to evaluate the spatio-temporal variability of soil moisture across an 18-ha production field in a corn/soybean rotation. The IDW results show that when uniform irrigation applications are made to the field, fewer sensors that are placed in better locations throughout the field can be as useful as a densely gridded array of sensors. Although, if variable rate irrigation (VRI) is being used, a dense array could be used the first season to fine tune management zones.