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

This study proposes a hybrid Seasonal Autoregressive Integrated Moving Average (SARIMA)–Bidirectional Long Short-Term Memory (Bi-LSTM) model for monthly rainfall forecasting in the agroclimatic zones of Chhattisgarh, India. Accurate rainfall prediction is critical for agricultural planning and wate...

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Tallennettuna:
Päätekijät: DIWAKAR NAIDU, SURENDRA KUMAR CHANDNIHA
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Association of agrometeorologists 2025-09-01
Sarja:Journal of Agrometeorology
Aiheet:
Rainfall forecasting
Statistical techniques
Deep learning
Hybrid SARIMA–Bi-LSTM model
SARIMA
Agroclimatic zones
Linkit:https://journal.agrimetassociation.org/index.php/jam/article/view/3010
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