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Pedology and digital soil map** (DSM)
Pedology focuses on understanding soil genesis in the field and includes soil classification
and map**. Digital soil map** (DSM) has evolved from traditional soil classification and …
and map**. Digital soil map** (DSM) has evolved from traditional soil classification and …
Conventional and digital soil map** in Iran: Past, present, and future
Demand for accurate soil information is increasing for various applications. This paper
investigates the history of soil survey in Iran, particularly more recent developments in the …
investigates the history of soil survey in Iran, particularly more recent developments in the …
Machine learning in precision agriculture: a survey on trends, applications and evaluations over two decades
Precision agriculture represents the new age of conventional agriculture. This is made
possible by the advancement of various modern technologies such as the internet of things …
possible by the advancement of various modern technologies such as the internet of things …
Machine learning for predicting soil classes in three semi-arid landscapes
Map** the spatial distribution of soil taxonomic classes is important for informing soil use
and management decisions. Digital soil map** (DSM) can quantitatively predict the spatial …
and management decisions. Digital soil map** (DSM) can quantitatively predict the spatial …
Soil map**, classification, and pedologic modeling: History and future directions
Soil map**, classification, and pedologic modeling have been important drivers in the
advancement of our understanding of soil from the earliest days of the scientific study of …
advancement of our understanding of soil from the earliest days of the scientific study of …
Digital map** of soil organic carbon using ensemble learning model in Mollisols of Hyrcanian forests, northern Iran
This study was conducted to evaluate the efficacy of the ensemble machine learning model
to predict the spatial variation of soil organic carbon (SOC) concentration in a deciduous …
to predict the spatial variation of soil organic carbon (SOC) concentration in a deciduous …
Comparing the efficiency of digital and conventional soil map** to predict soil types in a semi-arid region in Iran
The efficiency of different digital and conventional soil map** approaches to produce
categorical maps of soil types is determined by cost, sample size, accuracy and the selected …
categorical maps of soil types is determined by cost, sample size, accuracy and the selected …
Novel ensembles of COPRAS multi-criteria decision-making with logistic regression, boosted regression tree, and random forest for spatial prediction of gully erosion …
Gully erosion is considered as a severe environmental problem in many areas of the world
which causes huge damages to agricultural lands and infrastructures (ie roads, buildings …
which causes huge damages to agricultural lands and infrastructures (ie roads, buildings …
The effectiveness of digital soil map** to predict soil properties over low-relief areas
This study investigates the ability of different digital soil map** (DSM) approaches to
predict some of physical and chemical topsoil properties in the Shahrekord plain of …
predict some of physical and chemical topsoil properties in the Shahrekord plain of …
Updating soil survey maps using random forest and conditioned Latin hypercube sampling in the loess derived soils of northern Iran
Many Iranian soil surveys need to be updated. Conventional soil survey methods are
expensive and time-consuming. Digital soil map** (DSM) can be used for updating soil …
expensive and time-consuming. Digital soil map** (DSM) can be used for updating soil …