Neural Networks for Food Export Gain Forecasting

Dmitry Devyatkin, Roman Suvorov, Ilya Tikhomirov, Yulia Otmakhova

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

1 Citation (Scopus)

Abstract

Agriculture and food production could be an engine of economic growth in a lot of countries. The obvious way to force food and agriculture development is to discover new foreign markets with high probability of growth in the nearest future. The objective of this study is to reveal combinations of commodities and partner countries for which persistent growth of export value is expected. The proposed framework uses open data about international trade flows and production from United Nations, International Monetary Found, weather databases and quantile regression models based on neural networks. The experiments show that considering retrospective data allows to accurate forecast the desired combinations.

Original languageEnglish
Title of host publication9th International Conference on Intelligent Systems 2018
Subtitle of host publicationTheory, Research and Innovation in Applications, IS 2018 - Proceedings
EditorsJoao Martins, Vladimir Jotsov, Robert Bierwolf, Joao Pedro Mendonca, Ricardo Jardim-Goncalves, Maria Marques
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages312-317
Number of pages6
ISBN (Electronic)9781538670972
DOIs
Publication statusPublished - 2 Jul 2018
Event9th International Conference on Intelligent Systems, IS 2018 - Funchal - Madeira, Portugal
Duration: 25 Sep 201827 Sep 2018

Publication series

Name9th International Conference on Intelligent Systems 2018: Theory, Research and Innovation in Applications, IS 2018 - Proceedings

Conference

Conference9th International Conference on Intelligent Systems, IS 2018
CountryPortugal
CityFunchal - Madeira
Period25.09.201827.09.2018

Keywords

  • Data mining
  • Food market
  • International trade
  • Machine learning
  • Neural networks
  • Open data
  • Quantile regression

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  • Cite this

    Devyatkin, D., Suvorov, R., Tikhomirov, I., & Otmakhova, Y. (2018). Neural Networks for Food Export Gain Forecasting. In J. Martins, V. Jotsov, R. Bierwolf, J. P. Mendonca, R. Jardim-Goncalves, & M. Marques (Eds.), 9th International Conference on Intelligent Systems 2018: Theory, Research and Innovation in Applications, IS 2018 - Proceedings (pp. 312-317). [8710561] (9th International Conference on Intelligent Systems 2018: Theory, Research and Innovation in Applications, IS 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IS.2018.8710561