Spectroscopy is said be easier and cheaper for soil chemical property analysis. how well does it perform in mineralogical studies? also how well does the data set calibration and validation tests yields any relevant results through machine learning and artificial neural network in this field?
I basically belong to non programming background, I do know moderate application of R-Studio in PLRS and basic training set and validation set preparation.
Tushar Kumar
I suggest reading these papers:
1. https://www.diva-portal.org/smash/get/diva2:1515573/FULLTEXT01.pdf
2. Chapter Near-Infrared Spectroscopy and Machine Learning: Analysis an...
I hope below link would be useful
Evaluating the utility of mid-infrared spectral subspaces for predicting soil properties
Near-Infrared Spectroscopy and Machine Learning: Analysis an
https://www.diva-portal.org/smash/get/diva2:1515573/FULLTEXT01.pdf
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