Search for

Bibliographia Humboldtiana Index

Bibliographia Humboldtiana

Publications in 2020

Agriculture, agricultural science, forestry, forest science

Gafur, Dr. Abdul

Roundtable Ganoderma Management (RGM), Indonesia
Field of research: Forest botany
Host: Prof. Dr. Dominik Begerow Ruhr-Universität Bochum
  • David E. Page, Morag Glen, Desy Puspitasari, Istiana Prihatini, Abdul Gafur, Caroline L. Mohammed: Acacia plantations in Indonesia facilitate clonal spread of the root pathogen Ganoderma philippii. In: Plant Pathology. 69, 2020, p. 685 - 697 [Acacia mangium, Eucalyptus pellita, root rot].

Leal, Dr. Otavio dos Anjos

Instituto Federal Catarinense (IFC), Brazil
Field of research: Crop production, plant production
Host: Prof. Dr. Nicolas Brüggemann Forschungszentrum Jülich GmbH
  • Telmo Jorge Carneiro Amado, Carlos Alexandre Costa Crusciol, Claudio Hideo Martins da Costa, Otávio dos Anjos Leal, and Luan Pierre Pott: Rehabilitating degraded and abandoned agricultural lands with Conservation Agriculture systems. In: Advances in Conservation Agriculture: Practices and Benefits. 2020.

Taghizadeh-Mehrjardi, Dr. Ruhollah

University of Ardakan, Germany
Field of research: Soil science
Host: Prof. Dr. Thomas Scholten Eberhard Karls Universität Tübingen
  • M Zeraatpisheh, A Jafari, M Bagheri, S Ayoubi, R Taghizadeh-Mehrjardi, N Toomanian, R Kerry, M Xu : Conventional and Digital Soil Mapping in Iran: Past, Present, and Future. In: Catena. 188, 2020, p. 104424.

  • H Fathizad, MA Hakimzadeh, H Sodaiezadeh, R Kerry, R Taghizadeh-Mehrjardi : Investigation of the spatial and temporal variation of soil salinity using random forests in the central desert of Iran. In: Geoderma. 365, 2020, p. 114233.

  • H Mahmoudzadeh, HR Matinfar, R Taghizadeh-Mehrjardi, R Kerry : Spatial prediction of soil organic carbon using machine learning techniques in western Iran . In: Geoderma Regional . 2020, p. e00260.

  • AA Zolfaghari, Meysam Abolkheiryana, AA Soltani Toularoud, R Taghizadeh-Mehrjardi, AO Weldeyohannese : Prediction of Soil Macronutrients using fractal parameters and Artificial Intelligence Methods . In: Spanish Journal of Agricultural Research . 2020.

  • R Taghizadeh-Mehrjardi, K Schmidt, A Amirian-Chakan, T Rentschler, M Zeraatpisheh, F Sarmadian, R Valavi, N Davatgar, T Behrens, T Scholten : Improving the Spatial Prediction of Soil Organic Carbon Content in Two Contrasting Climatic Regions by Stacking Machine Learning Models and Rescanning Covariate Space . In: Remote Sensing . 12, 2020, p. 1095.

  • R Taghizadeh-Mehrjardi, K Nabiollahi, L Rasouli, R Kerry, T Scholten : Land suitability assessment and agricultural production sustainability using machine learning models . In: Agronomy. 10, 2020, p. 573.

  • R Taghizadeh-Mehrjardi, M Mahdianpari, F Mohammadimanesh, T Behrens, N Toomanian, T Scholten, K Schmidt : Multi-task convolutional neural networks outperformed random forest for mapping soil particle size fractions in central Iran . In: Geoderma. 2020.

  • M Emadi, R Taghizadeh-Mehrjardi, A Cherati, M Danesh, A Mosavi, T Sholten : Predicting and Mapping of Soil Organic Carbon Using Machine Learning Algorithms in Northern Iran . In: Remote Sensing . 12, 2020, p. 2234.

  • H Fathizad, MA Hakimzadeh, B Heung, H Sodaiezadeh, A Rahmani, H Fathabadi, T Scholten, R Taghizadeh-Mehrjardi : Spatio-temporal dynamic of soil quality in the Central Iranian desert modeled with Machine Learning and Digital Soil Assessment techniques . In: Ecological Indicator . 2020.