Monsoon Rainfall Prediction for Punjab Using ARIMA Model: A Time Series Analysis

Preet Singh, K R Ramkumar,Taniya Hasija

2024 International Conference on Automation and Computation (AUTOCOM)(2024)

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摘要
Crop cycle planning primarily relies on precise precipitation forecasts, mitigation of disasters, and consideration of many environmental factors. Typically, precipitation patterns exhibit high variability, making it challenging to accurately forecast the specifics of future rainfall. This research employs the ARIMA model to forecast rainfall. Irregular precipitation patterns have significant effects on agriculture, industry, and long-term economic development. Comprehending the patterns and alterations of precipitation is crucial for addressing climate-related issues, and ensuring the availability and sustainable management of precipitation is vital for ensuring access to uncontaminated water.
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