@article{ART002982398},
author={Jin-Kyeong Seo and Da-Jeong Choi and Juryon Paik},
title={Research on Selecting Influential Climatic Factors and Optimal Timing Exploration for a Rice Production Forecast Model},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2023},
volume={28},
number={7},
pages={57-65},
doi={10.9708/jksci.2023.28.07.057}
TY - JOUR
AU - Jin-Kyeong Seo
AU - Da-Jeong Choi
AU - Juryon Paik
TI - Research on Selecting Influential Climatic Factors and Optimal Timing Exploration for a Rice Production Forecast Model
JO - Journal of The Korea Society of Computer and Information
PY - 2023
VL - 28
IS - 7
PB - The Korean Society Of Computer And Information
SP - 57
EP - 65
SN - 1598-849X
AB - Various studies to enhance the accuracy of rice production forecasting are focused on improving the accuracy of the models. In contrast, there is a relative lack of research regarding the data itself, which the prediction models are applied to. When applying the same dependent variable and prediction model to two different sets of rice production data composed of distinct features, discrepancies in results can occur. It is challenging to determine which dataset yields superior results under such circumstances. To address this issue, by identifying potential influential features within the data before applying the prediction model and centering the modeling around these, it is possible to achieve stable prediction results regardless of the composition of the data. In this study, we propose a method to adjust the composition of the data's features in order to select optimal base variables, aiding in achieving stable and consistent predictions for rice production. This method makes use of the Korea Meteorological Administration's ASOS data. The findings of this study are expected to make a substantial contribution towards enhancing the utility of performance evaluations in future research endeavors.
KW - Rice Yield;Multiple Linear Regression;Minimum Feature Variables;Climatic Factors;Optimal Timing Exploration
DO - 10.9708/jksci.2023.28.07.057
ER -
Jin-Kyeong Seo, Da-Jeong Choi and Juryon Paik. (2023). Research on Selecting Influential Climatic Factors and Optimal Timing Exploration for a Rice Production Forecast Model. Journal of The Korea Society of Computer and Information, 28(7), 57-65.
Jin-Kyeong Seo, Da-Jeong Choi and Juryon Paik. 2023, "Research on Selecting Influential Climatic Factors and Optimal Timing Exploration for a Rice Production Forecast Model", Journal of The Korea Society of Computer and Information, vol.28, no.7 pp.57-65. Available from: doi:10.9708/jksci.2023.28.07.057
Jin-Kyeong Seo, Da-Jeong Choi, Juryon Paik "Research on Selecting Influential Climatic Factors and Optimal Timing Exploration for a Rice Production Forecast Model" Journal of The Korea Society of Computer and Information 28.7 pp.57-65 (2023) : 57.
Jin-Kyeong Seo, Da-Jeong Choi, Juryon Paik. Research on Selecting Influential Climatic Factors and Optimal Timing Exploration for a Rice Production Forecast Model. 2023; 28(7), 57-65. Available from: doi:10.9708/jksci.2023.28.07.057
Jin-Kyeong Seo, Da-Jeong Choi and Juryon Paik. "Research on Selecting Influential Climatic Factors and Optimal Timing Exploration for a Rice Production Forecast Model" Journal of The Korea Society of Computer and Information 28, no.7 (2023) : 57-65.doi: 10.9708/jksci.2023.28.07.057
Jin-Kyeong Seo; Da-Jeong Choi; Juryon Paik. Research on Selecting Influential Climatic Factors and Optimal Timing Exploration for a Rice Production Forecast Model. Journal of The Korea Society of Computer and Information, 28(7), 57-65. doi: 10.9708/jksci.2023.28.07.057
Jin-Kyeong Seo; Da-Jeong Choi; Juryon Paik. Research on Selecting Influential Climatic Factors and Optimal Timing Exploration for a Rice Production Forecast Model. Journal of The Korea Society of Computer and Information. 2023; 28(7) 57-65. doi: 10.9708/jksci.2023.28.07.057
Jin-Kyeong Seo, Da-Jeong Choi, Juryon Paik. Research on Selecting Influential Climatic Factors and Optimal Timing Exploration for a Rice Production Forecast Model. 2023; 28(7), 57-65. Available from: doi:10.9708/jksci.2023.28.07.057
Jin-Kyeong Seo, Da-Jeong Choi and Juryon Paik. "Research on Selecting Influential Climatic Factors and Optimal Timing Exploration for a Rice Production Forecast Model" Journal of The Korea Society of Computer and Information 28, no.7 (2023) : 57-65.doi: 10.9708/jksci.2023.28.07.057
