Self-supervised and multi-fidelity learning for extended predictive soil spectroscopy

Infrared spectroscopy is a cost-effective, non-destructive, and environmentally benign technology that is increasingly recognized as an important solution for meeting the global demand for soil data. While both near-infrared (NIR) and mid-infrared (MIR) diffuse reflectance spectroscopy enable rapid...

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מידע ביבליוגרפי

Principais autores:	Luning Sun, José L. Safanelli, Jonathan Sanderman, Katerina Georgiou, Colby Brungard, Kanchan Grover, Bryan G. Hopkins, Shusen Liu, Peer-Timo Bremer
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Elsevier 2026-04-01
סדרה:	Geoderma
נושאים:	Deep learning Soil spectroscopy Representation learning Pre-training
גישה מקוונת:	http://www.sciencedirect.com/science/article/pii/S0016706126000923
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