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September 5, 2025Journal of AgrometeorologyOpen Access

Hybrid SARIMA–Bi-LSTM model for monthly rainfall forecasting in the agroclimatic zones of Chhattisgarh

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The hybrid SARIMA–Bi-LSTM model outperforms traditional methods in rainfall forecasting accuracy.
Results show the hybrid model achieved the lowest RMSE at 41.70 mm and the highest R² at 0.906.
Analysis employs 120 years of monthly rainfall data, indicating strong linear and non-linear pattern capture.
The study highlights the effectiveness of hybrid models for climate-resilient agricultural practices.

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Hybrid model improves rainfall forecasting accuracy in agroclimatic zones, suggesting better agricultural planning.

Naidu et al. (2025) studied this question.

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