Collection: Datasets From Real-Time In-Situ Soil Monitoring for Agriculture 2025

This capsule accompanies the IEEE article Collection. Datasets From Real-Time In-Situ Soil Monitoring for Agriculture 2025 by Kayla R. Moore, Taras Lychuk, Heather Mcnairn, Xiaoyuan Geng, Aston Chipanshi, E. Rotimi Ojo and 15 additional co-authors at https://ieeexplore.ieee.org/document/11177568. \n\nIt provides a minimal but complete example of the RISMA Calibration and Quality Control Process workflow. The full RISMA system processes soil moisture data from **36 monitoring stations** across three Canadian agricultural regions **24 in Manitoba** (plus two meteorological stations), **8 in Ontario**, and **4 in Saskatchewan**. The code complies data from soil moisture and weather sensors in the field. Site-specific calibration equations are applied for soil moisture sensors. It then quality controls the data, applying flags for data that are suspected to be erroneous. Full details on the calibration process and flags are provided in the associated publication.\n\nAlthough the full system includes 36 stations, SK3 is provided as a representative dataset to demonstrate the data processing pipeline, metadata usage, and output structure."