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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Autors principals:	DIWAKAR NAIDU, SURENDRA KUMAR CHANDNIHA
Format:	Artigo
Idioma:	Inglês
Publicat:	Association of agrometeorologists 2025-09-01
Col·lecció:	Journal of Agrometeorology
Matèries:	Rainfall forecasting Statistical techniques Deep learning Hybrid SARIMA–Bi-LSTM model SARIMA Agroclimatic zones
Accés en línia:	https://journal.agrimetassociation.org/index.php/jam/article/view/3010
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