Abstract

Based on prices of four commodities a fourier series was develop to predict prices. The foods are wheat, rice, sugar, canola oil. At the first attempt the for the chosen parameters were - gold price, brand crude, sensex and steel. It was found that the propose model predicts is able to predict average annual prices of the for mentioned essential commodities with a confidence level of over 80 %. The model was tested on data available from the united nation of four countries - Mexico, India, Japan and Australia.

Presenters

Mayank Mishra
Senior Executive, NCCL, Rajasthan, India

Details

Presentation Type

Innovation Showcase

Theme

Food Production and Sustainability

KEYWORDS

CLIMATE, FOOD, REGRESSION, HEURISTIC

Digital Media

This presenter hasn’t added media.
Request media and follow this presentation.