Review of artificial intelligence and internet of things technologies in land and water management research during 1991–2021: A bibliometric analysis
The challenges of urbanization, land degradation, water scarcity, and climate change are
threatening agricultural systems and food security. Therefore, it is essential to manage land …
threatening agricultural systems and food security. Therefore, it is essential to manage land …
Modeling monthly pan evaporation using wavelet support vector regression and wavelet artificial neural networks in arid and humid climates
Evaporation rate is one of the key parameters in determining the ecological conditions and it
has an irrefutable role in the proper management of water resources. In this paper, the …
has an irrefutable role in the proper management of water resources. In this paper, the …
Estimating daily dew point temperature using machine learning algorithms
In the current study, the ability of three data-driven methods of Gene Expression
Programming (GEP), M5 model tree (M5), and Support Vector Regression (SVR) were …
Programming (GEP), M5 model tree (M5), and Support Vector Regression (SVR) were …
Support vector regression integrated with fruit fly optimization algorithm for river flow forecasting in Lake Urmia Basin
Advancement in river flow prediction systems can greatly empower the operational river
management to make better decisions, practices, and policies. Machine learning methods …
management to make better decisions, practices, and policies. Machine learning methods …
Daily global solar radiation modeling using data-driven techniques and empirical equations in a semi-arid climate
Solar radiation, moisture and temperature are the most vital meteorological variables which
affect plant growth. Due to the fact that the global solar radiation (GSR) is scarcely gauged at …
affect plant growth. Due to the fact that the global solar radiation (GSR) is scarcely gauged at …
Wavelet neural networks and gene expression programming models to predict short-term soil temperature at different depths
Soil temperature (ST), as one of the critical meteorological parameters, has great effects on
many underground soil ecological processes. Due to the fact that accurate measuring of ST …
many underground soil ecological processes. Due to the fact that accurate measuring of ST …
Comparative analysis of hybrid models of firefly optimization algorithm with support vector machines and multilayer perceptron for predicting soil temperature at …
S Shamshirband, F Esmaeilbeiki… - Engineering …, 2020 - Taylor & Francis
This research aims to model soil temperature (ST) using machine learning models of
multilayer perceptron (MLP) algorithm and support vector machine (SVM) in hybrid form with …
multilayer perceptron (MLP) algorithm and support vector machine (SVM) in hybrid form with …
[HTML][HTML] Applying case-based reasoning and a learning-based adaptation strategy to irrigation scheduling in grape farming
As a key part of vineyard management, irrigation of grapevines puts forward the need of
scheduling water resources in a more precise and efficient way. Typically, irrigation plans …
scheduling water resources in a more precise and efficient way. Typically, irrigation plans …
Ant colony based artificial neural network for predicting spatial and temporal variation in groundwater quality
R Bhavya, K Sivaraj, L Elango - Water, 2023 - mdpi.com
The quality of groundwater is of utmost importance, as it directly impacts human health and
the environment. In major parts of the world, groundwater is the main source of drinking …
the environment. In major parts of the world, groundwater is the main source of drinking …
On the estimation of the friction factor: A review of recent approaches
The friction factor is traditionally computed through Colebrook's equation or by using
Moody's chart. However, these approaches have shown their limitations in getting accurate …
Moody's chart. However, these approaches have shown their limitations in getting accurate …