Comparison of Soil Total Nitrogen Content Prediction Models Based on Vis-NIR Spectroscopy

Comparison of Soil Total Nitrogen Content Prediction Models Based on Vis-NIR Spectroscopy

Visible-near-infrared spectrum (Vis-NIR) spectroscopy technology is one of the most important methods for non-destructive and rapid detection of soil total nitrogen (STN) content. In order to find a practical way to build STN content prediction model, three conventional machine learning methods and...

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Bibliographic Details
Main Authors: Yueting Wang, Minzan Li, Ronghua Ji, Minjuan Wang, Lihua Zheng
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Sensors
Subjects:
Vis-NIR spectroscopy
soil total nitrogen
machine learning
deep learning
convolutional neural network
Online Access:https://www.mdpi.com/1424-8220/20/24/7078

Internet

https://www.mdpi.com/1424-8220/20/24/7078

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