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cs.LG2025
Data-Driven Soil Organic Carbon Sampling: Integrating Spectral Clustering with Conditioned Latin Hypercube Optimization
Weiying Zhao, Aleksei Unagaev, Natalia Efremova
Soil organic carbon (SOC) monitoring often relies on selecting representative field sampling locations based on environmental covariates. We propose a novel hybrid methodology that…
cs.LG2023★ 2 cited
Soil Organic Carbon Estimation from Climate-related Features with Graph Neural Network
Weiying Zhao, Natalia Efremova
Soil organic carbon (SOC) plays a pivotal role in the global carbon cycle, impacting climate dynamics and necessitating accurate estimation for sustainable land and agricultural ma…