Spatial portability of numerical models of leaf wetness duration based on empirical approaches-Reference-Cited by-同舟云学术

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Spatial portability of numerical models of leaf wetness duration based on empirical approaches

Published:2010-07-15 Issue:7-8 Volume:150 Page:871-880
ISSN:0168-1923
Container-title:Agricultural and Forest Meteorology
language:en
Short-container-title:Agricultural and Forest Meteorology

Author:

Kim Kwang Soo,Taylor S. Elwynn,Gleason Mark L.,Nutter Jr. Forrest W.,Coop Leonard B.,Pfender William F.,Seem Robert C.,Sentelhas Paulo C.,Gillespie Terry J.,Dalla Marta Anna

Publisher

Elsevier BV

Subject

Atmospheric Science,Agronomy and Crop Science,Global and Planetary Change,Forestry

Cited by 24 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prediction of daily leaf wetness duration using multi-step machine learning;Computers and Electronics in Agriculture;2024-09

2. Epidemiology of boxwood blight in hotspots of western North Carolina and Virginia and validation of the boxwood blight infection risk model;2024-07-23

3. Spatial portability of random forest models to estimate site-specific air temperature for prediction of emergence dates of the Asian Corn Borer in North Korea;Computers and Electronics in Agriculture;2022-08

4. Spatial variability of leaf wetness under different soil water conditions in rainfed jujube (Ziziphus jujuba Mill.) in the loess hilly region, China;Journal of Arid Land;2022-01

5. Can machine learning classification methods improve the prediction of leaf wetness in North-Western Europe compared to established empirical methods?;Expert Systems with Applications;2021-11

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