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Volume : XVI, Issue : I, February - 2026 AI-BASED MARKET PRICE FORECASTING SYSTEM FOR INDIAN AGRICULTURAL COMMODITIES USING DEEP LEARNING AND MULTI-SOURCE DATA INTEGRATION Ms. Athira P. J., Dr. A. Saravanan By : Laxmi Book Publication Abstract : Accurate prediction of agricultural commodity prices assists farmers, traders, policymakers, and supply chain stakeholders. Keywords : Article : Cite This Article : Ms. Athira P. J., Dr. A. Saravanan(2026). AI-BASED MARKET PRICE FORECASTING SYSTEM FOR INDIAN AGRICULTURAL COMMODITIES USING DEEP LEARNING AND MULTI-SOURCE DATA INTEGRATION. Indian Streams Research Journal, Vol. XVI, Issue. I, http://isrj.org/UploadedData/11619.pdf References : - Zhang, G. P. (2003). Time series forecasting using a hybrid ARIMA and neural network model.
- Hochreiter, S., & Schmidhuber, J. (1997). Long Short-Term Memory. Neural Computation.
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