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Development of a Soil Organic Matter Content Prediction Model Based on Supervised Learning Using Vis-NIR/SWIR Spectroscopy.
Min-Jee Kim
Hye-In Lee
Jae-Hyun Choi
Kyoung Jae Lim
Changyeun Mo
Published in:
Sensors (2022)
Keyphrases
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supervised learning
vis nir
least squares support vector machine
machine learning
x ray
unsupervised learning
prediction accuracy
learning tasks
prediction model
supervised classification
training data
image data
infrared
statistical learning
ls svm
spectral data