Novel Genetic Algorithm (GA) based hybrid machine learning-pedotransfer Function (ML-PTF) for prediction of spatial pattern of saturated hydraulic conductivity
Saturated hydraulic conductivity (Ks) is an important soil characteristic that controls water
moves through the soil. On the other hand, its measurement is difficult, time-consuming, and …
moves through the soil. On the other hand, its measurement is difficult, time-consuming, and …
Machine learning-based intelligent modeling of hydraulic conductivity of sandy soils considering a wide range of grain sizes
This study presents novel intelligent modeling of the hydraulic conductivity (k) of sandy soil
by employing machine learning (ML) algorithms ie, artificial neural network (ANN), multi …
by employing machine learning (ML) algorithms ie, artificial neural network (ANN), multi …
Modeling monthly pan evaporation process over the Indian central Himalayas: application of multiple learning artificial intelligence model
The potential of several predictive models including multiple model-artificial neural network
(MM-ANN), multivariate adaptive regression spline (MARS), support vector machine (SVM) …
(MM-ANN), multivariate adaptive regression spline (MARS), support vector machine (SVM) …
Machine learning applications for water-induced soil erosion modeling and map**
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 …
A novel approach to predict CO2 emission in the agriculture sector of Iran based on Inclusive Multiple Model
Due to the significant effects of CO 2 emissions on climate change and global warming, as
well as its serious hazards to human health, the prediction of CO 2 emission is a vital issue …
well as its serious hazards to human health, the prediction of CO 2 emission is a vital issue …
Use of artificial neural network to evaluate cadmium contamination in farmland soils in a karst area with naturally high background values
C Li, C Zhang, T Yu, X Liu, Y Yang, Q Hou, Z Yang… - Environmental …, 2022 - Elsevier
In recent years, the naturally high background value region of Cd derived from the
weathering of carbonate has received wide attention. Due to the significant difference in soil …
weathering of carbonate has received wide attention. Due to the significant difference in soil …
Accurate prediction of spatial distribution of soil potentially toxic elements using machine learning and associated key influencing factors identification: A case study in …
K Li, G Guo, D Zhang, M Lei, Y Wang - Journal of Hazardous Materials, 2024 - Elsevier
Accurate prediction of spatial distribution of potentially toxic elements (PTEs) is crucial for
soil pollution prevention and risk control. Achieving accurate prediction of spatial distribution …
soil pollution prevention and risk control. Achieving accurate prediction of spatial distribution …
Use of machine learning and geographical information system to predict nitrate concentration in an unconfined aquifer in Iran
Increased nitrate concentration is one of the main groundwater quality problems today that
needs to be measured and monitored. Water quality testing and monitoring are time …
needs to be measured and monitored. Water quality testing and monitoring are time …
A comparison of BPNN, GMDH, and ARIMA for monthly rainfall forecasting based on wavelet packet decomposition
Accurate rainfall forecasting in watersheds is of indispensable importance for predicting
streamflow and flash floods. This paper investigates the accuracy of several forecasting …
streamflow and flash floods. This paper investigates the accuracy of several forecasting …
Application of BP-ANN model in evaluation of soil quality in the arid area, northwest China
W Shao, Q Guan, Z Tan, H Luo, H Li, Y Sun… - Soil and Tillage …, 2021 - Elsevier
Soil quality evaluation is an effective way to improve ecological environment quality of soil
and to perfect management system as well as keep its productivity of the soil sustainable …
and to perfect management system as well as keep its productivity of the soil sustainable …