Interpretation of Convolutional Neural Networks for Acid Sulfate Soil Classification

Convolutional neural networks (CNNs) have been originally used for computer vision tasks, such as image classification. While several digital soil mapping studies have been assessing these deep learning algorithms for the prediction of soil properties, their potential for soil classification has not...

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Bibliographic Details
Main Authors: Amélie Beucher , Christoffer B. Rasmussen, Thomas B. Moeslund, Mogens H. Greve 
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-01-01
Series:Frontiers in Environmental Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fenvs.2021.809995/full

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