A Novel Transformer-CNN Approach for Predicting Soil Properties from LUCAS Vis-NIR Spectral Data

A Novel Transformer-CNN Approach for Predicting Soil Properties from LUCAS Vis-NIR Spectral Data

Soil, a non-renewable resource, requires continuous monitoring to prevent degradation and support sustainable agriculture. Visible-near-infrared (Vis-NIR) spectroscopy is a rapid and cost-effective method for predicting soil properties. While traditional machine learning methods are commonly used fo...

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Bibliographic Details
Main Authors: Liying Cao, Miao Sun, Zhicheng Yang, Donghui Jiang, Dongjie Yin, Yunpeng Duan
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Agronomy
Subjects:
LUCAS
deep learning
soil environmental protection
Vis-NIR spectral
Online Access:https://www.mdpi.com/2073-4395/14/9/1998

Internet

https://www.mdpi.com/2073-4395/14/9/1998

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