Modeling soil cation exchange capacity in multiple countries

Y Khaledian, EC Brevik, P Pereira, A Cerdà, MA Fattah… - Catena, 2017 - Elsevier
Cation exchange capacity (CEC), as an important indicator for soil quality, represents soil's
ability to hold positively charged ions. We attempted to predict CEC using different statistical …

Spatial prediction of soil surface properties in an arid region using synthetic soil image and machine learning

S Naimi, S Ayoubi, JAM Demattê… - Geocarto …, 2022 - Taylor & Francis
Abstract Evaluation of spatial variability and mapping of soil properties is critical for
sustainable agricultural production in arid lands. The main objectives of the present study …

Predicting bulk density using pedotransfer functions for soils in the Upper Anthemountas basin, Greece

S Sevastas, D Gasparatos, D Botsis, I Siarkos… - Geoderma …, 2018 - Elsevier
Abstract Special equations called Pedotransfer Functions (PTFs) have been broadly
implemented as state-of-the-art indirect cost-effective and time-saving methods in predicting …

Erodibility of calcareous soils as influenced by land use and intrinsic soil properties in a semiarid region of central Iran

S Ayoubi, J Mokhtari, MR Mosaddeghi… - Environmental …, 2018 - Springer
The most important properties affecting the soil loss and runoff were investigated, and the
effects of land use on the soil properties, together with the erodibility indices in a semiarid …

[HTML][HTML] Modeling of paclitaxel biosynthesis elicitation in Corylus avellana cell culture using adaptive neuro-fuzzy inference system-genetic algorithm (ANFIS-GA) and …

S Farhadi, M Salehi, A Moieni, N Safaie, MS Sabet - PloS one, 2020 - journals.plos.org
Paclitaxel as a microtubule-stabilizing agent is widely used for the treatment of a vast range
of cancers. Corylus avellana cell suspension culture (CSC) is a promising strategy for …

Why are monarch butterflies declining in the West? Understanding the importance of multiple correlated drivers

EE Crone, EM Pelton, LM Brown… - Ecological …, 2019 - Wiley Online Library
Understanding the factors associated with declines of at‐risk species is an important first
step in setting management and recovery targets. This step can be challenging when …

[HTML][HTML] Ground observations and environmental covariates integration for mapping of soil salinity: a machine learning-based approach

S Naimi, S Ayoubi, M Zeraatpisheh, JAM Dematte - Remote Sensing, 2021 - mdpi.com
Soil salinization is a severe danger to agricultural activity in arid and semi-arid areas,
reducing crop production and contributing to land destruction. This investigation aimed to …

Predicting microbial responses to changes in soil physical and chemical properties under different land management

S Sadeghi, BJ Petermann, JJ Steffan, EC Brevik… - Applied Soil …, 2023 - Elsevier
Microbial abundance and community structure can be altered directly and indirectly by soil
physical and chemical characteristics which, in turn, can be influenced by land use …

Comparative study of statistical, numerical and machine learning-based pedotransfer functions of water retention curve with particle size distribution data

S Amanabadi, M Vazirinia, H Vereecken… - Eurasian Soil …, 2019 - Springer
The water retention curve (WRC) describes the nonlinear relation of soil water content
(SWC) and matric potential. Since direct measurement of SWC and matric potential is …

Using fuzzy-AHP and parametric technique to assess soil fertility status in Northeast of Iran

A Keshavarzi, HO Tuffour, A Bagherzadeh… - Journal of Mountain …, 2020 - Springer
A good understanding of the levels and distribution patterns of soil properties and/or quality
indicators is a prerequisite for developing sustainable agricultural land management …