생육정보를 이용한 가을배추와 가을무 단수 예측 모형 개발
Development of Yield Forecast Models for Autumn Chinese Cabbage and Radish Using Crop Growth and Development Information
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초록
This study suggests the yield forecast models for autumn chinese cabbage and radish using crop growth and development information. For this, we construct 24 alternative yield forecast models and compare the predictive power using root mean square percentage errors. The results shows that the predictive power of model including crop growth and development informations is better than model which does not include those informations. But the forecast errors of best forecast models exceeds 5%. Thus it is important to establish reliable data and improve forecast models.
Abstract
This study suggests the yield forecast models for autumn chinese cabbage and radish using crop growth and development information. For this, we construct 24 alternative yield forecast models and compare the predictive power using root mean square percentage errors. The results shows that the predictive power of model including crop growth and development informations is better than model which does not include those informations. But the forecast errors of best forecast models exceeds 5%. Thus it is important to establish reliable data and improve forecast models.
참고문헌 (8)
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- A Study on the Production Determinants of Chinese Cabbage and Radish, "Lee, J. W.", Korea Rural Economic Institute, ~, pp.R346 (1996)
- A Study on Determinants of Seasonal Supply and Price of Produce in Korea: With Special Emphasis on Weather, "Lee, Y. S.", Korea Rural Economic Institute, ~, pp.R494 (2005)
- The Development of Chinese Cabbage and Radish Forecast Models, "Park, J. Y.", Rural Economic Institute, ~, pp.M125 (2013)
- Rural Development Administration, "Chinese Cabbage. Agricultural Technology Guide, 128", Rural Development Administration, ~ (2013)
- Rural Development Administration, "Radish. Agricultural Technology Guide, 126", Rural Development Administration, ~ (2013)