Implementation of Effective Rainfall Forecast Model using Machine Learning
Rainfall has a significant impact on hydrology and meteorology. To manage resources and make in advance plans to conserve water resources, rainfall prediction is helpful. When predicting rainfall using an existing dataset, machine learning algorithms are equally significant. Data about rainfall is g...
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Published in | 2023 4th International Conference on Smart Electronics and Communication (ICOSEC) pp. 1655 - 1660 |
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Main Authors | , , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
20.09.2023
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Subjects | |
Online Access | Get full text |
DOI | 10.1109/ICOSEC58147.2023.10275838 |
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Abstract | Rainfall has a significant impact on hydrology and meteorology. To manage resources and make in advance plans to conserve water resources, rainfall prediction is helpful. When predicting rainfall using an existing dataset, machine learning algorithms are equally significant. Data about rainfall is gathered from the KAGGLE website. contains rainfall data that has been collected throughout the past 100 years (1901-2015). Information is recorded and gathered all around India. Using MATLAB software, we developed a system that can forecast rainfall in Tamil Nadu based on this data. |
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AbstractList | Rainfall has a significant impact on hydrology and meteorology. To manage resources and make in advance plans to conserve water resources, rainfall prediction is helpful. When predicting rainfall using an existing dataset, machine learning algorithms are equally significant. Data about rainfall is gathered from the KAGGLE website. contains rainfall data that has been collected throughout the past 100 years (1901-2015). Information is recorded and gathered all around India. Using MATLAB software, we developed a system that can forecast rainfall in Tamil Nadu based on this data. |
Author | Balamurugan, Kavitha K., Kalanithy A., Jose Anand B., Rammya N., Mathan J. R., Dinesh Kumar |
Author_xml | – sequence: 1 givenname: Kavitha surname: Balamurugan fullname: Balamurugan, Kavitha email: kavitha@kcgcollege.com organization: KCG College of Technology,Department of ECE,Chennai,Tamil Nadu,India,600097 – sequence: 2 givenname: Jose Anand surname: A. fullname: A., Jose Anand email: joseanandme@yahoo.co.in organization: KCG College of Technology,Department of ECE,Chennai,Tamil Nadu,India,600097 – sequence: 3 givenname: Rammya surname: B. fullname: B., Rammya email: ramya@kcgcollege.com organization: KCG College of Technology,Department of ECE,Chennai,Tamil Nadu,India,600097 – sequence: 4 givenname: Dinesh Kumar surname: R. fullname: R., Dinesh Kumar email: nandidinesh2001@gmail.com organization: KCG College of Technology,Department of ECE,Chennai,Tamil Nadu,India,600097 – sequence: 5 givenname: Kalanithy surname: K. fullname: K., Kalanithy email: kalanithyabdvj@gmail.com organization: KCG College of Technology,Department of ECE,Chennai,Tamil Nadu,India,600097 – sequence: 6 givenname: Mathan J. surname: N. fullname: N., Mathan J. email: mathanmathan54321@gmail.com organization: KCG College of Technology,Department of ECE,Chennai,Tamil Nadu,India,600097 |
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Snippet | Rainfall has a significant impact on hydrology and meteorology. To manage resources and make in advance plans to conserve water resources, rainfall prediction... |
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SubjectTerms | Acccuracy C Language Machine Learning Machine learning algorithms Mathematical models MATLAB Predictive models Rain Rainfall Prediction Real-time systems Software Wind speed |
Title | Implementation of Effective Rainfall Forecast Model using Machine Learning |
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