[HTML][HTML] Soil erosion status prediction using a novel random forest model optimized by random search method
Soil erosion, the degradation of the earth's surface through the removal of soil particles,
occurs in three phases: dislocation, transport, and deposition. Factors such as soil type …
occurs in three phases: dislocation, transport, and deposition. Factors such as soil type …
[HTML][HTML] A random forest machine learning approach for the identification and quantification of erosive events
Predicting the occurrence of erosive rain events and quantifying the corresponding soil loss
is extremely useful in all applications where assessing phenomenon impacts is required …
is extremely useful in all applications where assessing phenomenon impacts is required …
Modelling and mapping of soil erosion susceptibility using machine learning in a tropical hot sub-humid environment
Sobha watershed, located in the Puruliya district of West Bengal, India, is experiencing
severe soil erosion due to specific geo-environmental settings and unscientific land …
severe soil erosion due to specific geo-environmental settings and unscientific land …
A new approach for smart soil erosion modeling: integration of empirical and machine-learning models
Despite advances in artificial intelligence modeling, the lack of soil-erosion data and other
watershed information still limits soil-erosion modeling. The limited number of parameters …
watershed information still limits soil-erosion modeling. The limited number of parameters …
Prediction of soil loss due to erosion using support vector machine model
Soil erosion refers to the detachment and removal of soil particles from land (topsoil), by the
natural physical forces (water, glacier and wind). Soil erosion causes soil loss in the …
natural physical forces (water, glacier and wind). Soil erosion causes soil loss in the …
Machine learning based soil erosion susceptibility prediction using social spider algorithm optimized multivariate adaptive regression spline
This study proposes an advanced data-driven method which relies on the Multivariate
Adaptive Regression Splines (MARS) machine learning and Social Spider Algorithm (SSA) …
Adaptive Regression Splines (MARS) machine learning and Social Spider Algorithm (SSA) …
Machine learning applications for water-induced soil erosion modeling and mapping
Assessment of water-induced soil erosion as a crucial part of soil conservation plans is
costly and time-consuming when applied to an extensive area. In this study, we propose a …
costly and time-consuming when applied to an extensive area. In this study, we propose a …
[HTML][HTML] Using machine learning-based algorithms to analyze erosion rates of a watershed in Northern Taiwan
This study continues a previous study with further analysis of watershed-scale erosion pin
measurements. Three machine learning (ML) algorithms—Support Vector Machine (SVM) …
measurements. Three machine learning (ML) algorithms—Support Vector Machine (SVM) …
[HTML][HTML] An artificial intelligence-based assessment of soil erosion probability indices and contributing factors in the Abha-Khamis watershed, Saudi Arabia
Soil erosion is a major problem in arid regions, including the Abha-Khamis watershed in
Saudi Arabia. This research aimed to identify the soil erosional probability using various soil …
Saudi Arabia. This research aimed to identify the soil erosional probability using various soil …
Modeling soil erosion by data-driven methods using limited input variables
Soil is one of the main elements of natural resources. Accurate estimation of soil erosion is
very important in optimum soil resources development and management. Analyzing soil …
very important in optimum soil resources development and management. Analyzing soil …