A novel local-global dependency deep learning model for soil mapping

A novel local-global dependency deep learning model for soil mapping

The accurate and cost-effective mapping of soil texture is essential for agricultural development and environmental activities. Soil texture exhibits high spatial heterogeneity which poses challenges for recent Digital Soil Mapping (DSM) methods in achieving accurate predictions. Feature engineering...

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Bibliographic Details
Main Authors: Qingliang Li, Cheng Zhang, Wei Shangguan, Lu Li, Yongjiu Dai
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:Geoderma
Subjects:
Deep learning
LSTM
Soil texture
Digital soil mapping
Random forest
Online Access:http://www.sciencedirect.com/science/article/pii/S0016706123003269

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http://www.sciencedirect.com/science/article/pii/S0016706123003269

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