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All Journal International Journal of Electrical and Computer Engineering
Somporn Ruang-On
Nakhon Si Thammarat Rajabhat University
Computer Science & IT Electrical & Electronics Engineering

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Random forest model for forecasting vegetable prices: a case study in Nakhon Si Thammarat Province, Thailand Sopee Kaewchada; Somporn Ruang-On; Uthai Kuhapong; Kritaphat Songsri-in
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 5: October 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i5.pp5265-5272

Abstract

The objectives of this research were developing a model for forecasting vegetable prices in Nakhon Si Thammarat Province using random forest and comparing the forecast results of different crops. The information used in this paper were monthly climate data and average monthly vegetable prices collected between 2011 – 2020 from Nakhon Si Thammarat meteorological station and Nakhon Si Thammarat Provincial Commercial Office, respectively. We evaluated model performance based on mean absolute percentage error (MAPE), root mean squared error (RMSE), and mean absolute error (MAE). The experimental results showed that the random forest model was able to predict the prices of vegetables, including pumpkin, eggplant, and lentils with high accuracy with MAPE values of 0.09, 0.07, and 0.15, with RMSE values of 1.82, 1.46, and 2.33, and with MAE values of 3.32, 2.15, and 5.42, respectively. The forecast model derived from this research can be beneficial for vegetable planting planning in the Pak Phanang River Basin of Nakhon Si Thammarat Province, Thailand.
Co-Authors Kritaphat Songsri-in Sopee Kaewchada Uthai Kuhapong