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Real-time soil moisture mapping using scalable RF sensor networks
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DOI：10.1016/j.compag.2025.110979.png)
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Abstract
En 中文
• A real-time framework is designed to calculate the optimal positions and sizes of moisture pixels and smoothly transform soil moisture maps across variable dimensions. • A cost function is proposed that takes into account mapping errors, ground-truth measurements, and RSSI-to-moisture projections. By minimizing the cost function with forgetting factors, the optimal pixelated moisture values are obtained in real time. • The GPR method is used to smooth the RSSI and probe streams, and the integral errors are leveraged to obtain real-time estimation with maximal credibility.
Keywords:
Soil moisture mapping
Guassian process regression
RSSI-to-moisture projection
Variable network structure
Real-time monitoring
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