DEVELOPMENT OF RAINFALL FORECASTING MODEL USING MACHINE LEARNING WITH SINGULAR SPECTRUM ANALYSIS
Agriculture is the key point for survival for developing nations like India. For farming, rainfall is generally significant. Rainfall updates are help for evaluate water assets, farming, ecosystems and hydrology. Nowadays rainfall anticipation has become a foremost issue. Forecast of rainfall offers...
Main Authors: | Pundru Chandra Shaker Reddy, Sucharitha Yadala, Surya Narayana Goddumarri |
---|---|
Format: | Article |
Language: | English |
Published: |
IIUM Press, International Islamic University Malaysia
2022-01-01
|
Series: | International Islamic University Malaysia Engineering Journal |
Subjects: | |
Online Access: | https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/1822 |
Similar Items
-
Linking Singular Spectrum Analysis and Machine Learning for Monthly Rainfall Forecasting
by: Pa Ousman Bojang, et al.
Published: (2020-05-01) -
Quantitative Estimation of Rainfall from Remote Sensing Data Using Machine Learning Regression Models
by: Yacine Mohia, et al.
Published: (2023-02-01) -
The Decomposition and Forecasting of Mutual Investment Funds Using Singular Spectrum Analysis
by: Paulo Canas Rodrigues, et al.
Published: (2020-01-01) -
Recurrent Forecasting in Singular Spectrum Decomposition
by: Maryam Movahedifar, et al.
Published: (2023-07-01) -
Forecasting Mortality Rate by Singular Spectrum Analysis
by: Rahim Mahmoudvand, et al.
Published: (2015-11-01)