Fuji apple variety introduced in Japan has excellent storage quality and good taste so it is most commonly cultivated in the Korean Peninsula.
Accurate prediction of harvest maturity allows farmers to more efficiently manage their farm, such as working time, fruit storage, market shipment and labor distribution so it is very important. This study was carried out to predict the harvest maturity of ‘Fuji’ apple using DTS (Days Transformed to Standard temperature) model based on the Arrhenius law in the Gunwi province of the South Korea. Input data are daily average temperature and apple harvest maturity. Predicted the harvest maturity of Fuji apple after estimating the optimal parameters by using the Nelder-Mead method. The differences of observed and predicted harvest maturity day are approximately 1 to 4 days and the RMSE is 2.9.

Abstract
 1. 서 론
 2. 재료 및 방법
  2.1. 모델 구동 입력 자료
  2.2. DTS 모델
  2.3. DTS 모델 구현
 3. 결과 및 고찰
 4. 결론
 REFERENCE

• 최인태(농촌진흥청 국립농업과학원 기후변화생태과) | In-Tae Choi (Division of Climate Change & Agroecology, Department of Agricultural Environment, National Academy of Agricultural Science) Corresponding author
• 심교문(농촌진흥청 국립농업과학원 기후변화생태과) | Kyo-Moon Shim (Division of Climate Change & Agroecology, Department of Agricultural Environment, National Academy of Agricultural Science)
• 김용석(농촌진흥청 국립농업과학원 기후변화생태과) | Yong-Seok Kim (Division of Climate Change & Agroecology, Department of Agricultural Environment, National Academy of Agricultural Science)
• 정명표(농촌진흥청 국립농업과학원 기후변화생태과) | Myung-Pyo Jung (Division of Climate Change & Agroecology, Department of Agricultural Environment, National Academy of Agricultural Science)
• 윤경담(미국 워싱턴대학교 환경산림과학부) | Kyung-Dahm Yun (School of Environmental and Forest Science, College of Environment University of Washington)
• 김수형(미국 워싱턴대학교 환경산림과학부) | Soo-Hyung Kim (School of Environmental and Forest Science, College of Environment University of Washington)