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Development and Verification of an AI Model for Melon Import Prediction

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2023, 28(7), pp.29-37
  • DOI : 10.9708/jksci.2023.28.07.029
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : June 19, 2023
  • Accepted : July 19, 2023
  • Published : July 31, 2023

KHOEURN SAKSONITA 1 Jungsung Ha 1 Cho, Wan-sup 1 Phyoungjung Kim 2

1충북대학교
2충북도립대학교

Accredited

ABSTRACT

Due to climate change, interest in crop production and distribution is increasing, and attempts are being made to use bigdata and AI to predict production volume and control shipments and distribution stages. Prediction of agricultural product imports not only affects prices, but also controls shipments of farms and distributions of distribution companies, so it is important information for establishing marketing strategies. In this paper, we create an artificial intelligence prediction model that predicts the future import volume based on the wholesale market melon import volume data disclosed by the agricultural statistics information system and evaluate its accuracy. We create prediction models using three models: the Neural Prophet technique, the Ensembled Neural Prophet model, and the GRU model. As a result of evaluating the performance of the model by comparing two major indicators, MAE and RMSE, the Ensembled Neural Prophet model predicted the most accurately, and the GRU model also showed similar performance to the ensemble model. The model developed in this study is published on the web and used in the field for 1 year and 6 months, and is used to predict melon production in the near future and to establish marketing and distribution strategies.

Citation status

* References for papers published after 2023 are currently being built.