Intellectual Property India Publishes Patent Application for Market Volatility Aware Hurst Driven Deep Learning Model For Accurate Commodity Price Forecasts

MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641077713 A) filed by D. Kamalakkannan; Prabhakaran. D; Devika. M; Hariprasath. D; Pragadeeswaran. P. H; Sangeeth. T; and Vishalkumar. S on June 24, 2026, for Market Volatility Aware Hurst Driven Deep Learning Model For Accurate Commodity Price Forecasts.

Inventors include D. Kamalakkannan; Prabhakaran. D; Devika. M; Hariprasath. D; Pragadeeswaran. P. H; Sangeeth. T; and Vishalkumar. S.

The application for the patent was published on July 03, 2026, under issue no. 27/2026.

Abstract: Agricultural commodity prices in India fluctuate rapidly due to supply–demand imbalances, seasonal variability, transportation delays, and market-driven volatility. Fa...