Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Mehrabi-Gohari, Elham
Matinfar, Hamid Reza
Jafari, Azam
Taghizadeh-Mehrjardi, Ruhollah
and
Triantafilis, John
2019.
The Spatial Prediction of Soil Texture Fractions in Arid Regions of Iran.
Soil Systems,
Vol. 3,
Issue. 4,
p.
65.
Arshad, Maryem
Li, Nan
Zhao, Dongxue
Sefton, Michael
and
Triantafilis, John
2019.
Comparing management zone maps to address infertility and sodicity in sugarcane fields.
Soil and Tillage Research,
Vol. 193,
Issue. ,
p.
122.
Zhao, Xueyu
Wang, Jie
Zhao, Dongxue
Li, Nan
Zare, Ehsan
and
Triantafilis, John
2019.
Digital regolith mapping of clay across the Ashley irrigation area using electromagnetic induction data and inversion modelling.
Geoderma,
Vol. 346,
Issue. ,
p.
18.
Pan, Hanyue
Liang, Jia
Zhao, Ye
and
Li, Fangfang
2020.
Facing the 3rd national land survey (cultivated land quality): soil survey application for soil texture detection based on the high-definition field soil images by using perceptual hashing algorithm (pHash).
Journal of Soils and Sediments,
Vol. 20,
Issue. 9,
p.
3427.
Zhao, Xueyu
Arshad, Maryem
Li, Nan
Zare, Ehsan
and
Triantafilis, John
2020.
Determination of the optimal mathematical model, sample size, digital data and transect spacing to map CEC (Cation exchange capacity) in a sugarcane field.
Computers and Electronics in Agriculture,
Vol. 173,
Issue. ,
p.
105436.
Zare, Ehsan
Li, Nan
Khongnawang, Tibet
Farzamian, Mohammad
and
Triantafilis, John
2020.
Identifying Potential Leakage Zones in an Irrigation Supply Channel by Mapping Soil Properties Using Electromagnetic Induction, Inversion Modelling and a Support Vector Machine.
Soil Systems,
Vol. 4,
Issue. 2,
p.
25.
Wang, Zong
Shi, Wenjiao
Zhou, Wei
Li, Xiaoyan
and
Yue, Tianxiang
2020.
Comparison of additive and isometric log-ratio transformations combined with machine learning and regression kriging models for mapping soil particle size fractions.
Geoderma,
Vol. 365,
Issue. ,
p.
114214.
Vogel, Sebastian
Bönecke, Eric
Kling, Charlotte
Kramer, Eckart
Lück, Katrin
Nagel, Anne
Philipp, Golo
Rühlmann, Jörg
Schröter, Ingmar
and
Gebbers, Robin
2020.
Base Neutralizing Capacity of Agricultural Soils in a Quaternary Landscape of North-East Germany and Its Relationship to Best Management Practices in Lime Requirement Determination.
Agronomy,
Vol. 10,
Issue. 6,
p.
877.
Malone, Brendan
and
Searle, Ross
2021.
Updating the Australian digital soil texture mapping (Part 2.
Soil Research,
Vol. 59,
Issue. 5,
p.
435.
Arshad, Maryem
Zhao, Dongxue
Zare, Ehsan
Sefton, Michael
and
Triantafilis, John
2021.
Proximally sensed digital data library to predict topsoil clay across multiple sugarcane fields of Australia: Applicability of local and universal support vector machine.
CATENA,
Vol. 196,
Issue. ,
p.
104934.
McLachlan, Paul
Blanchy, Guillaume
Chambers, Jonathan
Sorensen, James
Uhlemann, Sebastian
Wilkinson, Paul
and
Binley, Andrew
2021.
The Application of Electromagnetic Induction Methods to Reveal the Hydrogeological Structure of a Riparian Wetland.
Water Resources Research,
Vol. 57,
Issue. 6,
Bönecke, Eric
Meyer, Swen
Vogel, Sebastian
Schröter, Ingmar
Gebbers, Robin
Kling, Charlotte
Kramer, Eckart
Lück, Katrin
Nagel, Anne
Philipp, Golo
Gerlach, Felix
Palme, Stefan
Scheibe, Dirk
Zieger, Karin
and
Rühlmann, Jörg
2021.
Guidelines for precise lime management based on high-resolution soil pH, texture and SOM maps generated from proximal soil sensing data.
Precision Agriculture,
Vol. 22,
Issue. 2,
p.
493.
Arshad, Maryem
Zhao, Dongxue
Khongnawang, Tibet
and
Triantafilis, John
2021.
A systematic evaluation of multisensor data and multivariate prediction methods for digitally mapping exchangeable cations: A case study in Australian sugarcane field.
Geoderma Regional,
Vol. 25,
Issue. ,
p.
e00400.
McLachlan, Paul
Blanchy, Guillaume
and
Binley, Andrew
2021.
EMagPy: Open-source standalone software for processing, forward modeling and inversion of electromagnetic induction data.
Computers & Geosciences,
Vol. 146,
Issue. ,
p.
104561.
Taghizadeh-Mehrjardi, Ruhollah
Emadi, Mostafa
Cherati, Ali
Heung, Brandon
Mosavi, Amir
and
Scholten, Thomas
2021.
Bio-Inspired Hybridization of Artificial Neural Networks: An Application for Mapping the Spatial Distribution of Soil Texture Fractions.
Remote Sensing,
Vol. 13,
Issue. 5,
p.
1025.
Revil, A.
Schmutz, M.
Abdulsamad, F.
Balde, A.
Beck, C.
Ghorbani, A.
and
Hubbard, S.S.
2021.
Field-scale estimation of soil properties from spectral induced polarization tomography.
Geoderma,
Vol. 403,
Issue. ,
p.
115380.
Zare, Ehsan
Wang, Jie
Zhao, Dongxue
Arshad, Maryam
and
Triantafilis, John
2021.
Scope to map available water content using proximal sensed electromagnetic induction and gamma-ray spectrometry data.
Agricultural Water Management,
Vol. 247,
Issue. ,
p.
106705.
Mallah, Sina
Delsouz Khaki, Bahareh
Davatgar, Naser
Poppiel, Raul Roberto
and
Demattê, José A. M.
2022.
Digital Mapping of Topsoil Texture Classes Using a Hybridized Classical Statistics–Artificial Neural Networks Approach and Relief Data.
AgriEngineering,
Vol. 5,
Issue. 1,
p.
40.
Shi, Wenjiao
and
Zhang, Mo
2023.
Progress on spatial prediction methods for soil particle-size fractions.
Journal of Geographical Sciences,
Vol. 33,
Issue. 7,
p.
1553.
Bönecke, Eric
Schröter, Ingmar
Vogel, Sebastian
Gebbers, Robin
Rühlmann, Jörg
and
Meyer, Swen
2025.
Sensorgestützte Kartierung von Bodeneigenschaften für die teilflächenspezifische Kalkung.
p.
115.