This manuscript presents remote Time Domain Reflectory (TDR) system to measure soil moisture through electromagnetic wave signal aboard in Unmanned Aerial Vehicle (UAV) platform. The UAV-based remote TDR design is significant in obtaining spatial resolution in different soil types. The proposed UAV software is equipped with several digital signal processing techniques. It has database structure feature to facilitate creation of machine learning dataset from different soil type. It also has capacity to automatically create interpolated model for estimation which is very significant in further training. To verify the results quantitatively, the set-up was investigated using one-way ANOVA test at 0.05 significance level applied in both onsite testing and derived model measurements. The results have shown that there is no significant difference on the mean of data measured in any point locations and the derived model, which simply confirms that the derived model is effective and the designed and developed systems worked well as intended.
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