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Title: :  Groundwater Level Prediction Using Multiple Machine Learning Techniques
PaperId: :  21666
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 5 2023
DUI:    16.0415/IJARIIE-21666
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Kotari Jayanth Koneru Lakshmaiah Education Foundation
Mahammad Abdul RawoofKoneru Lakshmaiah Education Foundation
Sai Prasanna Vamsi PerniKoneru Lakshmaiah Education Foundation
Valasapalli MounikaKoneru Lakshmaiah Education Foundation

Abstract

Computer Engineering
Groundwater level prediction,ML, SVM, Gradient Boosting, KNN, water resource management.
Predicting groundwater levels is important for managing water resources sustainably. Accurate predictions can aid in the efficient allocation of water resources, preventing over-extraction, and minimizing environmental impacts. In the present study, we employ ML (Machine Learning) algorithms to predict groundwater levels based on historical data. We utilize a comprehensive dataset comprising groundwater level measurements, meteorological data, and other relevant parameters. The dataset is preprocessed to handle missing values and ensure its suitability for ML. Four ML algorithms, including SVM (Support Vector Machine), Logistic Regression, KNN (K-Nearest Neighbors), and Gradient Boosting, are employed for groundwater level prediction. These algorithms are trained on historical data and evaluated using appropriate metrics. Our experiments reveal the effectiveness of ML in predicting groundwater levels. We present comparative results for the four algorithms, including accuracy scores and predictive capabilities. Additionally, we visualize the model performance through confusion matrices.The comparative analysis highlights the strengths and weaknesses of each algorithm in groundwater level prediction. We discuss how these findings impact water resource management and the viability of embedding predictive models into decision support systems.

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IJARIIE Kotari Jayanth , Mahammad Abdul Rawoof, Sai Prasanna Vamsi Perni, and Valasapalli Mounika. "Groundwater Level Prediction Using Multiple Machine Learning Techniques" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 5 2023 Page 974-982
MLA Kotari Jayanth , Mahammad Abdul Rawoof, Sai Prasanna Vamsi Perni, and Valasapalli Mounika. "Groundwater Level Prediction Using Multiple Machine Learning Techniques." International Journal Of Advance Research And Innovative Ideas In Education 9.5(2023) : 974-982.
APA Kotari Jayanth , Mahammad Abdul Rawoof, Sai Prasanna Vamsi Perni, & Valasapalli Mounika. (2023). Groundwater Level Prediction Using Multiple Machine Learning Techniques. International Journal Of Advance Research And Innovative Ideas In Education, 9(5), 974-982.
Chicago Kotari Jayanth , Mahammad Abdul Rawoof, Sai Prasanna Vamsi Perni, and Valasapalli Mounika. "Groundwater Level Prediction Using Multiple Machine Learning Techniques." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 5 (2023) : 974-982.
Oxford Kotari Jayanth , Mahammad Abdul Rawoof, Sai Prasanna Vamsi Perni, and Valasapalli Mounika. 'Groundwater Level Prediction Using Multiple Machine Learning Techniques', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 5, 2023, p. 974-982. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Groundwater_Level_Prediction_Using_Multiple_Machine_Learning_Techniques_ijariie21666.pdf (Accessed : 23 January 2025).
Harvard Kotari Jayanth , Mahammad Abdul Rawoof, Sai Prasanna Vamsi Perni, and Valasapalli Mounika. (2023) 'Groundwater Level Prediction Using Multiple Machine Learning Techniques', International Journal Of Advance Research And Innovative Ideas In Education, 9(5), pp. 974-982IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Groundwater_Level_Prediction_Using_Multiple_Machine_Learning_Techniques_ijariie21666.pdf (Accessed : 23 January 2025)
IEEE Kotari Jayanth , Mahammad Abdul Rawoof, Sai Prasanna Vamsi Perni, and Valasapalli Mounika, "Groundwater Level Prediction Using Multiple Machine Learning Techniques," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 5, pp. 974-982, Sep-Oct 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Groundwater_Level_Prediction_Using_Multiple_Machine_Learning_Techniques_ijariie21666.pdf [Accessed : 23 January 2025].
Turabian Kotari Jayanth , Mahammad Abdul Rawoof, Sai Prasanna Vamsi Perni, and Valasapalli Mounika. "Groundwater Level Prediction Using Multiple Machine Learning Techniques." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 5 (23 January 2025).
Vancouver Kotari Jayanth , Mahammad Abdul Rawoof, Sai Prasanna Vamsi Perni, and Valasapalli Mounika. Groundwater Level Prediction Using Multiple Machine Learning Techniques. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : 23 January 2025]; 9(5) : 974-982. Available from: https://ijariie.com/AdminUploadPdf/Groundwater_Level_Prediction_Using_Multiple_Machine_Learning_Techniques_ijariie21666.pdf
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