Application of firefly algorithm-based support vector machines for prediction of field capacity and permanent wilting point

MA Ghorbani, S Shamshirband, DZ Haghi… - Soil and Tillage …, 2017 - Elsevier
Soil field capacity (FC) and permanent wilting point (PWP) are significant parameters in
numerous biophysical models and agricultural activities. Although these parameters can be …

[PDF][PDF] Soil physico-chemical properties and fertility status of long-term land use and cover changes: A case study in Forest vegetative zone of Nigeria

IE Olorunfemi, JT Fasinmirin… - Eurasian journal of soil …, 2018 - dergipark.org.tr
Proper utilization of land is essential to soil quality maintenance and sustainable agricultural
development. This study was conducted to evaluate effects of land use management on …

Inclusion of fractal dimension in four machine learning algorithms improves the prediction accuracy of mean weight diameter of soil

A Sarkar, PP Maity, M Ray, D Chakraborty, B Das… - Ecological …, 2023 - Elsevier
The study of soil mean weight diameter (MWD), essential for sustainable soil management,
has recently received much attention. As the estimation of MWD is challenging, labor …

Computational intelligence applied to the least limiting water range to estimate soil water content using GIS and geostatistical approaches in alluvial lands*

P Alaboz, O Başkan, O Dengiz - Irrigation and Drainage, 2021 - Wiley Online Library
The use of machine learning methods in pedotransfer functions has attracted considerable
attention in recent years. These methods are fast and effective in solving complex events …

Mapping soil water retention on agricultural lands in central and eastern parts of the Black Sea Region in Turkey

M Miháliková, MA Özyazıcı, O Dengiz - Journal of Irrigation and …, 2016 - ascelibrary.org
Central and eastern parts of the Black Sea Region in Turkey are pivotal in production of
hazelnut and tea. The soils are vulnerable to leaching of nutrients and water erosion, and …

Prediction of soil water contents and erodibility indices based on artificial neural networks: using topography and remote sensing

A Usta - Environmental Monitoring and Assessment, 2022 - Springer
This study aimed to predict some soil water contents and soil erodibility indices with a
multilayer perceptron (MLP) artificial neural network (ANN) using remote sensing data …

Prediction of unsaturated hydraulic conductivity of agricultural soils using artificial neural network and c

M Al-Sulaiman, A Aboukarima - Journal of Agriculture and …, 2016 - info.submit4journal.com
Aims: The objective of this study was to develop an artificial neural network model and
interactive application using C# application to predict unsaturated hydraulic conductivity of …

The relation between yield indices of maize plant and soil physicochemical characteristics

K Nalan, I Ekberli - Eurasian Journal of Soil Science, 2020 - dergipark.org.tr
The aim of this study was to set regression models based on correlation between yield
parameters of maize plant (height, thousand seed weight and yield) and physical and …

Spatial Variability and Mapping of Selected Soil Physical Properties under Continuous Cultivation

S Sani, A Abdulkadir, SA hmad Pantami… - Turkish Journal of …, 2023 - agrifoodscience.com
Assessments of Soil physical properties and estimation of their associated variability are
essential for making site-specific decisions on soil and crop management This study …

[PDF][PDF] Hydraulic conductivity of subsoils vis-à-vis foundation applications in Akure, Southwestern Nigeria

OA Ademeso, OS Ogunjobi - Journal of Mining and Geology, 2021 - researchgate.net
The effect of the movement of groundwater on a foundation can be destructive. If
groundwater permeates a foundation subsoil with ease, the possibility of foundation failure …