[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 …

Modeling of stage-discharge using back propagation ANN-, ANFIS-, and WANN-based computing techniques

R Shukla, P Kumar, DK Vishwakarma, R Ali… - Theoretical and Applied …, 2021 - Springer
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 …

Daily pan-evaporation estimation in different agro-climatic zones using novel hybrid support vector regression optimized by Salp swarm algorithm in conjunction with …

A Malik, Y Tikhamarine, N Al-Ansari… - Engineering …, 2021 - Taylor & Francis
Ensuring accurate estimation of evaporation is weighty for effective planning and judicious
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

A Samii, H Karami, H Ghazvinian, A Safari… - Journal of Soft …, 2023 - jsoftcivil.com
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 …

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 …

[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 …

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 …

Quick integrative optimizers for minimizing the error of neural computing in pan evaporation modeling

H Moayedi, S Ghareh, LK Foong - Engineering with Computers, 2022 - Springer
To achieve an efficient methodology for approximating pan evaporation (EP), this study
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 …

[HTML][HTML] Assessment of algorithm performance on predicting total dissolved solids using artificial neural network and multiple linear regression for the groundwater …

MU Farooq, AM Zafar, W Raheem, MI Jalees… - Water, 2022 - mdpi.com
Estimating groundwater quality parameters through conventional methods is time-
consuming through laboratory measurements for megacities. There is a need to develop …