Predicting Soil Moisture Content Based on Laser-Induced Breakdown Spectroscopy-Informed Machine Learning
Predicting Soil Moisture Content Based on Laser-Induced Breakdown Spectroscopy-Informed Machine Learning
Y. Wudil,M. Al-Osta,M. A. Gondal,S. Kunwar
2024 · DOI: 10.1007/s13369-024-08762-8
The Arabian journal for science and engineering · 7 Citations
TLDR
This study presents a pioneering approach that combines artificial intelligence and laser-induced breakdown spectroscopy (LIBS) to predict soil moisture content (MC) using robust nonlinear models based on LIBS-derived elemental intensities to facilitate optimized soil moisture management practices.