[HTML][HTML] Prediction of arabica coffee production using artificial neural network and multiple linear regression techniques
Y Kittichotsatsawat, N Tippayawong… - Scientific Reports, 2022 - nature.com
Crop yield and its prediction are crucial in agricultural production planning. This study
investigates and predicts arabica coffee yield in order to match the market demand, using …
investigates and predicts arabica coffee yield in order to match the market demand, using …
Modeling of stage-discharge using back propagation ANN-, ANFIS-, and WANN-based computing techniques
The development of the stage-discharge relationship is a fundamental issue in hydrological
modeling. Due to the complexity of the stage-discharge relationship, discharge prediction …
modeling. Due to the complexity of the stage-discharge relationship, discharge prediction …
Daily pan-evaporation estimation in different agro-climatic zones using novel hybrid support vector regression optimized by Salp swarm algorithm in conjunction with …
Ensuring accurate estimation of evaporation is weighty for effective planning and judicious
management of available water resources for agricultural practices. Thus, this work …
management of available water resources for agricultural practices. Thus, this work …
[HTML][HTML] Comparison of DEEP-LSTM and MLP models in estimation of evaporation pan for arid regions
The importance of evaporation estimation in water resources and agricultural studies is
undeniable. Evaporation pans (EP) are used as an indicator to determine the evaporation of …
undeniable. Evaporation pans (EP) are used as an indicator to determine the evaporation of …
Evaporation rate prediction using advanced machine learning models: a comparative study
ZA Al Sudani, GSA Salem - Advances in Meteorology, 2022 - Wiley Online Library
Accurately estimating the amount of evaporation loss is necessary for scheduling and
calculating irrigation water requirements. In this study, four machine learning (ML) modeling …
calculating irrigation water requirements. In this study, four machine learning (ML) modeling …
[HTML][HTML] Two comprehensive and practical methods for simulating pan evaporation under different climatic conditions in Iran
MH Dehghanipour, H Karami, H Ghazvinian… - Water, 2021 - mdpi.com
Evaporation from surface water plays a crucial role in water accounting of basins, water
resource management, and irrigation systems management. As such, the simulation of …
resource management, and irrigation systems management. As such, the simulation of …
Investigating the performance of neural network based group method of data handling to Pan's daily evaporation estimation (Case study: Garmsar City)
H Karami, H Ghazvinian, M Dehghanipour… - Journal of Soft …, 2021 - jsoftcivil.com
Evaporation is a complex and nonlinear phenomenon due to the interactions of different
climatic factors. Therefore, advanced models should be used to estimate evaporation. In the …
climatic factors. Therefore, advanced models should be used to estimate evaporation. In the …
Quick integrative optimizers for minimizing the error of neural computing in pan evaporation modeling
To achieve an efficient methodology for approximating pan evaporation (EP), this study
offers two metaheuristic-integrated predictors. Shuffled complex evolution (SCE) and …
offers two metaheuristic-integrated predictors. Shuffled complex evolution (SCE) and …
[HTML][HTML] Evaluating three supervised machine learning algorithms (LM, BR, and SCG) for daily pan evaporation estimation in a semi-arid region
P Aghelpour, Z Bagheri-Khalili, V Varshavian… - Water, 2022 - mdpi.com
Evaporation is one of the main components of the hydrological cycle, and its estimation is
crucial and important for water resources management issues. Access to a reliable estimator …
crucial and important for water resources management issues. Access to a reliable estimator …
[HTML][HTML] Assessment of algorithm performance on predicting total dissolved solids using artificial neural network and multiple linear regression for the groundwater …
Estimating groundwater quality parameters through conventional methods is time-
consuming through laboratory measurements for megacities. There is a need to develop …
consuming through laboratory measurements for megacities. There is a need to develop …