Multi-Year Study Maize Agrivoltaics Soil Moisture Data

<p>Soil moisture data is an important feature for agronomic work, and it speaks true for agrivoltaic work as well. This research specifically attempts to link spatial location of shading with changes in soil moisture. Howver, for a couple of years, the soil moisture data had to be approximated due to lack of/missing data. To do so, a multiple fold Bayesian Regularization Neural Network had to be employed to extrapolate the limited data we had from the latter end of the growing seasons in 2020 and 2021 to the beginning of the seasons. In this repository, one may find the original data, the volumetric water content collected from sensors used on the field. Additionally, the data used for training and extrapolation, which is climatic data downloaded from NREL's NSRDB site, including: DHI, DNI, Dew Point, Surface Albedo, Wind Speed, Relative Humidity, Temperature, Pressure, GHI, Cloud Type, Solar Zenith, and Precipitable Water. Lastly, the calculated data for the full growing season will be found. </p>