An integrated framework for multi-commodity agricultural price forecasting and anomaly detection using attention-boosted models

Global agricultural systems are increasingly exposed to price instability driven by climate extremes, logistic disruptions, and market uncertainty. These conditions complicate efforts to monitor and manage price behaviours in essential commodity markets. Micro, small, and medium enterprises (MSMEs),...

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Detalles Bibliográficos

Autores principales:	Eko Sediyono, Kristoko Dwi Hartomo, Christian Arthur, Intiyas Utami, Ronny Prabowo, Raymond Chiong
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Elsevier 2025-08-01
Colección:	Journal of Agriculture and Food Research
Materias:	Agricultural commodity Price forecasting Transformer LSTM-VAE Anomaly detection Attention mechanism
Acceso en línea:	http://www.sciencedirect.com/science/article/pii/S2666154325003928
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