Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference (한국농림기상학회:학술대회논문집)
- 2001.06a
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- Pages.93-96
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- 2001
Estimation of Leaf Wetness Duration Using An Empirical Model
- Kim, Kwang-Soo (Department of Agronomy, Iowa State University) ;
- S.Elwynn Taylor (Department of Agronomy, Iowa State University) ;
- Mark L.Gleason (Department of Plant Pathology, Iowa State University) ;
- Kenneth J.Koehler (Department of Statistics, Iowa State University)
- Published : 2001.06.01
Abstract
Estimation of leaf wetness duration (LWD) facilitates assessment of the likelihood of outbreaks of many crop diseases. Models that estimate LWD may be more convenient and grower-friendly than measuring it with wetness sensors. Empirical models utilizing statistical procedures such as CART (Classification and Regression Tree; Gleason et al., 1994) have estimated LWD with accuracy comparable to that of electronic sensors.(omitted)
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