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http://dx.doi.org/10.11625/KJOA.2017.25.2.279

Development of Yield Forecast Models for Autumn Chinese Cabbage and Radish Using Crop Growth and Development Information  

Lee, Choon-Soo (단국대학교 환경자원경제학과)
Yang, Sung-Bum (단국대학교 환경자원경제학과)
Publication Information
Korean Journal of Organic Agriculture / v.25, no.2, 2017 , pp. 279-293 More about this Journal
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.
Keywords
yield forecast; autumn chinese cabbage; autumn radish; crop growth and development information; root mean square prediction error;
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Times Cited By KSCI : 1  (Citation Analysis)
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