Soil observations are as old as agriculture and even more relevant under a carbon-dioxide driven climate. With the promise of new AI and machine learning methods, accurate and timely data becomes even more valuable for scientific insight and data-driven policy work. Yet there remains substantial barriers to soil data discovery, access, integration, and reuse. Many of these challenges are driven by the diversity in measurements, methods, and scales inherent in soils. In this session we will hear about current efforts to address these challenges. From new ontologies and semantic tools, to data formatting, to what data measurements are poised to drive novel insights, this session will focus on efforts in the US and around the world to create a dynamic soil information system for the 21st century.
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