Simple Optimal Sampling Algorithm to Strengthen Digital Soil Mapping Using the Spatial Distribution of Machine Learning Predictive Uncertainty: A Case Study for Field Capacity Prediction
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- Vân Anh Huynh-Thu & Alexandre Irrthum & Louis Wehenkel & Pierre Geurts, 2010. "Inferring Regulatory Networks from Expression Data Using Tree-Based Methods," PLOS ONE, Public Library of Science, vol. 5(9), pages 1-10, September.
- Hyunje Yang & Hyeonju Yoo & Honggeun Lim & Jaehoon Kim & Hyung Tae Choi, 2021. "Impacts of Soil Properties, Topography, and Environmental Features on Soil Water Holding Capacities (SWHCs) and Their Interrelationships," Land, MDPI, vol. 10(12), pages 1-15, November.
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Keywords
digital soil mapping; field capacity; machine learning; predictive uncertainty; sample site survey; soil investigation plan;All these keywords.
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