Sensing of Soil Organic Matter Using Laser-Induced Breakdown Spectroscopy Coupled with Optimized Self-Adaptive Calibration Strategy

• Published in: Sensors (Basel, Switzerland) Vol. 22; no. 4; p. 1488
• Main Authors: Hu, Mengjin, Ma, Fei, Li, Zhenwang, Xu, Xuebin, Du, Changwen
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 15.02.2022; MDPI
• Subjects: Accuracy; Agricultural production; Algorithms; Calibration; calibration strategy; Datasets; laser-induced breakdown spectroscopy; Lasers; Least-Squares Analysis; Methods; Potassium; self-adaptive model; Soil - chemistry; soil organic matter; Spectrum analysis; Spectrum Analysis - methods; France; United States > US; China; laser-induced breakdown spectroscopy; calibration strategy; soil organic matter; self-adaptive model

Rapid quantification of soil organic matter (SOM) is a great challenge for the health assessment and fertility management of agricultural soil. Laser-induced breakdown spectroscopy (LIBS) with appropriate modeling algorithms is an alternative tool for this measurement. However, the current calibrati...