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Zero-Shot Forecasting of In-Situ Soil Moisture and Temperature with a Time-Series Foundation Model

Talaei, Mohammad et al.
arXiv (All) · Papers
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artificial-intelligence
Soil moisture and temperature govern plant-water availability and microbial activity, making them key indicators for evaluating land-restoration efforts on degraded landscapes. However, the physical and data-driven models normally used to forecast them both need information that a newly instrumented
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