Prediction of pan evaporation in Chhattisgarh using machine learning techniques

Authors

  • RUPESH NAIK Department of CSIT, Guru Ghasidas Vishwavidyalaya, Central University, Bilaspur 495009 , Chhattisgarh, India
  • BABITA MAJHI Department of CSIT, Guru Ghasidas Vishwavidyalaya, Central University, Bilaspur 495009 , Chhattisgarh, India
  • DIWAKAR NAIDU Faculty of Agricultural Engineering, IGKV, Raipur 492012, Chhattisgarh, India

DOI:

https://doi.org/10.54386/jam.v27i1.2731

Keywords:

Pan evaporation, Deep learning, Deep Neural Network, Hybrid Model, Machine learning, Random Forest regressor

Abstract

Accurate measurement or estimation of evaporation loss is crucial for developing and successfully implementing water resource management strategies, irrigation planning, reservoir management etc. To predict the pan evaporation (EP) accurately for Raipur, Jagdalpur, and Ambikapur stations of Chhattisgarh, four deep learning models and three machine learning models were used and a hybrid model using Deep Neural Network (DNN) and Random Forest (RF) was proposed. Simulation results demonstrated that the hybrid model (DNN+RF) outperforms the rest with R2 of 0.964, 0.920, 0.894 for Raipur, Jagdalpur and Ambikapur respectively. It has been observed that the hybrid DNN+RF model demonstrated faster convergence compared to other models with high accuracy, making it efficient and well-suited for real-time applications such as irrigation scheduling and water resource management.

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Published

01-03-2025

How to Cite

NAIK, R., MAJHI, B., & NAIDU, D. (2025). Prediction of pan evaporation in Chhattisgarh using machine learning techniques. Journal of Agrometeorology, 27(1), 86–91. https://doi.org/10.54386/jam.v27i1.2731

Issue

Vol. 27 No. 1 (2025): March

Section

Research Paper

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Copyright (c) 2024 RUPESH NAIK, BABITA MAJHI, DIWAKAR NAIDU

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