H. V. Parmar

Data-Driven Modeling of FAO-56 Penman–Monteith Reference Evapotranspiration Using Limited Meteorological Parameters through Artificial Neural Networks

Piyush Damor, Girish Prajapati, Parthsarhti Pandya, H. D. Rank, H. V. Parmar, T. D. Mehta, D.V. Patel & Devrajsinh I. Thakor · International Journal of Environment and Climate Change · 2025

Accurate estimation of reference evapotranspiration (ET0) is crucial for irrigation planning and sustainable water management. This study developed Artificial Neural Network (ANN) models to simulate daily FAO-56 Penman-Monteith ET0 using limited meteorological inputs at Junagadh...

Open access Research Article 10.9734/ijecc/2025/v15i115131

Review on Machine Learning Techniques for Prediction of Reference Evapotranspiration

Piyush Damor, Girish Prajapati, Parthsarhti Pandya, H. D. Rank, H. V. Parmar, D.V. Patel & Devrajsinh I. Thakor · Journal of Scientific Research and Reports · 2025

Reference evapotranspiration (ET0) is a fundamental parameter in hydrological modeling, irrigation scheduling, and sustainable water resource management (WRM). Traditional physically based models often face challenges of non-linearity and data scarcity, making Soft Computing (SC)...

Open access Research Article 10.9734/jsrr/2025/v31i113685