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Soil classification

Soil Mechanics Through Project-Based Learning, 2018
Project relevance: There are different types of soil at the project site. To know what exactly we deal with, we are required to classify each soil and determine its characteristics such as grain-size distribution and plasticity. This knowledge will allow us to select the most appropriate design method. The following section will explain how to classify
Gratchev, Ivan, Jeng, Dong-Sheng, Oh, Erwin   +2 more
semanticscholar   +6 more sources

Use of Machine Learning Techniques in Soil Classification

Sustainability, 2023
In the design of reliable structures, the soil classification process is the first step, which involves costly and time-consuming work including laboratory tests.
Yaren Aydın, Ümit Işıkdağ, G. Bekdaş, S. M. Nigdeli, Z. Geem   +4 more
semanticscholar   +1 more source

Assessing the Performance of Machine Learning Algorithms for Soil Classification Using Cone Penetration Test Data

Applied Sciences, 2023
Conventional soil classification methods are expensive and demand extensive field and laboratory work. This research evaluates the efficiency of various machine learning (ML) algorithms in classifying soils based on Robertson’s soil behavioral types ...
A. Chala, Richard Ray
semanticscholar   +1 more source

Revised Soil Classification System: Implementation and Engineering Implications

Journal of Geotechnical and Geoenvironmental Engineering, 2023
: Soil classification systems help geotechnical engineers anticipate soil properties and provide early guidance for engineering analyses. Current soil classification systems recognize the central role of particle size and inherent differences between ...
Gloria M. Castro, Junghee Park, J. Santamarina   +2 more
semanticscholar   +1 more source

Interpretation of Convolutional Neural Networks for Acid Sulfate Soil Classification

Frontiers in Environmental Science, 2022
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 ...
Amélie Beucher , C. Rasmussen, T. Moeslund, Mogens H. Greve    +3 more
semanticscholar   +1 more source

Soil Classification by Machine Learning Using a Tunnel Boring Machine’s Operating Parameters

Applied Sciences, 2022
This study predicted soil classification using data gathered during the operation of an earth-pressure-balance-type tunnel boring machine (TBM). The prediction methodology used machine learning to find relationships between the TBM’s operating parameters
T. Kang, Soon-Wook Choi, Chulho Lee, Soo-Ho Chang   +3 more
semanticscholar   +1 more source

Feeding habits and multifunctional classification of soil‐associated consumers from protists to vertebrates

Biological Reviews of The Cambridge Philosophical Society, 2022
Soil organisms drive major ecosystem functions by mineralising carbon and releasing nutrients during decomposition processes, which supports plant growth, aboveground biodiversity and, ultimately, human nutrition.
A. Potapov, F. Beaulieu, K. Birkhofer, Sarah L. Bluhm, M. I. Degtyarev, Miloslav Devetter, A. Goncharov, K. B. Gongalsky, B. Klarner, D. Korobushkin, D. F. Liebke, M. Maraun, R. M. Mc Donnell, Melanie M. Pollierer, I. Schaefer, J. Shrubovych, I. Semenyuk, A. Sendra, J. Tuma, Michala Tůmová, A. Vassilieva, Ting‐Wen Chen, S. Geisen, O. Schmidt, A. Tiunov, S. Scheu   +25 more
semanticscholar   +1 more source

Applications of laser‐induced breakdown spectroscopy for soil characterization, part II: Review of elemental analysis and soil classification

European Journal of Soil Science, 2020
In‐field soil health assessments, including plant nutrients and toxic elements, are needed and could improve the sustainability of agriculture production. Among the available analytical techniques for these analyses, laser‐induced breakdown spectroscopy (
P. Villas-Boas, Marco A. Franco, L. Martin‐Neto, H. Gollany, D. Milori   +4 more
semanticscholar   +1 more source

Australian Soil Classification

, 1996
The Australian Soil Classification provides a framework for organising knowledge about Australian soils by allocating soils to classes via a key. Since its publication in 1996, this book has been widely adopted and formally endorsed as the official ...
R. Isbell
semanticscholar   +1 more source

Use of soil and climate data to assess the risk of agricultural drought for policy support in Europe. [PDF]

, 2001
This paper describes the use of soil and climatic data for assessing the risk of drought in Europe. Soil moisture regimes are defined for soil classification purposes and these can be used to delineate areas with the same type of soil climate.
Jones, Robert J. A., Montanarella, Luca, Zdruli, Pandi   +2 more
core   +4 more sources