Forecasting jute (Corchorus spp.) prices and arrivals in West Bengal using ARIMA and advanced machine learning techniques

The study aimed to forecast and understand the price movements and volatility in jute (Corchorus spp.) prices and arrivals from 2007–2023 across the markets of four major jute growing districts in West Bengal namely Uttar Dinajpur, Nadia, Coochbehar, and Murshidabad. To achieve this, both tradition...

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Autori principali:	SOURAV GHOSH, N M ALAM, DEBARATI DATTA, SONALI PAUL MAZUMDAR, BIJAN MAJUMDAR, SABYASACHI MITRA, RITESH SAHA, SANJOY SAHA, GOURANGA KAR
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Indian Council of Agricultural Research 2025-10-01
Serie:	The Indian Journal of Agricultural Sciences
Soggetti:	ARIMA model, Jute price forecasting, Long short-term memory, Machine learning models, Random forest, Support vector regression
Accesso online:	https://epubs.icar.org.in/index.php/IJAgS/article/view/163270
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