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| Development of a Daily Epidemiological Model of Rice Blast Tailored for Seasonal Disease Early Warning in South Korea |
| Kwang-Hyung Kim, Imgook Jung |
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Plant Pathol J. 2020;36(5):406-417. Published online October 1, 2020 DOI: https://doi.org/10.5423/PPJ.OA.07.2020.0135 |
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Development of a Daily Epidemiological Model of Rice Blast Tailored for Seasonal Disease Early Warning in South Korea The Plant Pathology Journal. 2020;36(5):406-417  Development of Tailored Early Warning Agromet Advisories for Farmers in Zambia, Indonesia, and South Africa Frontiers in Climate. 2021;3: Development of a rice tungro epidemiological model for seasonal disease risk management in the Philippines European Journal of Agronomy. 2019;109:125911 Predicting potential epidemics of rice leaf blast and sheath blight in South Korea under the RCP 4.5 and RCP 8.5 climate change scenarios using a rice disease epidemiology model, EPIRICE Agricultural and Forest Meteorology. 2015;203:191-207 Development of Early Warning Models Early Warning for Infectious Disease Outbreak. 2017;35-74 Development of Early Warning Information Systems Early Warning for Infectious Disease Outbreak. 2017;99-112 The Application of Detrended Fluctuation Analysis in Rice Blast in the Early Warning Applied Mechanics and Materials. 2014;644-650:6011-6014 Novel Hybrid ARIMA-BiLSTM Model for Forecasting of Rice Blast Disease Outbreaks for Sustainable Rice Production . 2022; Introduction to Theories and Key Technologies of Infectious Disease Early Warning Early Warning for Infectious Disease Outbreak. 2017;1 Early Epidemiological and Clinical Characteristics of 28 Cases of Coronavirus Disease in South Korea Osong Public Health and Research Perspectives. 2020;11(1):8-14 |
