A Web-based Information System for Plant Disease Forecast Based on Weather Data at High Spatial Resolution |
Kang, Wee-Soo
(Department of Agricultural Biotechnology, Seoul National University)
Hong, Soon-Sung (Gyeonggi-do Agricultural Research and Extension Services) Han, Yong-Kyu (Epinet Corporation, Business Incubator, Seoul National University) Kim, Kyu-Rang (National Institute of Meteorological Research, Korea Meteorological Administration) Kim, Sung-Gi (Gyeonggi-do Agricultural Research and Extension Services) Park, Eun-Woo (Department of Agricultural Biotechnology, Seoul National University) |
1 | Schaefer, J. T. 1990. The critical success index as an indicator of warning skill. Weather Forecast 5:570-575. DOI |
2 | Seem, R. C., Magarey, R. D., Zack, J. W. and Russo, J. M. 2000. Estimating disease risk at the whole plant level with General Circulation Models. Environ. Pollut. 108:389-395. DOI ScienceOn |
3 | Seem, R. C., Magnus, H. A. and Hjonnevaag. 1991. High resolution weather information for plant protection. EPPO Bull. 21:355-364. DOI |
4 | Sokal, R. R. and Rohlf, F. J. 1973. Introduction to biostatistics. W. H. Freeman and Company, San Francisco. 368 pp. |
5 | Wilks, D. S. and Shen, K. W. 1991. Threshold relative humidity duration forecasts for plant disease prediction. J. Appl. Meteorol. 30:463-470. DOI |
6 | Workneh, F., Narasimhan, B., Srinivasan, R. and Rush, C. M. 2005. Potential of radar-estimated rainfall for plant disease risk forecast. Phytopathology 95:25-27. DOI ScienceOn |
7 | Yoshino, R. 1979. Ecological studies on penetration of rice blast fungus, Pyricularia oryzae, into leaf epidermal cells. Bull. Hokuriku Agric. Exp. Stn. 22:163-221. |
8 | Yun, J. I. 2000. Estimation of climatological precipitation of North Korea by using a spatial interpolation scheme. Korean J. Agric. Forest Meteor. 2:16-23. 과학기술학회마을 |
9 | Yun, J. I., Cho, K. S., Hwang, H., Park, E. W. and Cho, S. I. 1998. Estimating microclimatic elements of a fully developed paddy rice canopy based on standard weather data. Korean J. Meteor. 34:216-221. |
10 | Yun, J. I., Yi, D. S., Choi, J. Y., Cho, S. I., Park, E. W. and Hwang, H. 1999. Elevation-corrected spatial interpolation for near-real time generation of meteorological surfaces from point observations. AgroInformatics J. 1:28-33. |
11 | Kim, K. S., Gleason, M. L. and Taylor, S. E. 2006. Forecasting site-specific leaf wetness duration for input to disease-warning systems. Plant Dis. 90:650-656. DOI ScienceOn |
12 | Magarey, P. A., Emmett, R. W., Herrmann, N. I., Wachtel, M. F. and Travis, J. W. 1997. Development of AusVit, a computerized decision support system for integrated management of diseases, pests and other production factors in Australian viticulture. Vitic. Enol. Sci. 52:175-179. |
13 | Magarey, R. D., Fowler, G. A., Borchert, D. M., Sutton, T. B., Colunga-Garcia, M. and Simpson, J. A. 2007. NAPPFAST: An Internet system for the weather-based mapping of plant pathogens. Plant Dis. 91:336-345. DOI ScienceOn |
14 | Magarey, R. D., Seem, R. C., Russo, J. M., Zack, J. W., Waight, K. T., Travis, J. W. and Oudemans, P. V. 2001. Site-specific weather information without on-site sensors. Plant Dis. 85:1216-1226. DOI ScienceOn |
15 | Rajotte, E. G., Bowser, T., Travis, J. W., Crassweller, R. M., Musser, W., Laughland, D. and Sachs, C. 1992. Implementation and adoption of an agricultural expert system: The Penn State Apple Orchard Consultant (PSAOC). Acta Hortic. 313:227-231. |
16 | Magarey, R. D., Travis, J. W., Russo, J. M., Seem, R. C. and Magarey, P. A. 2002. Decision support systems: Quenching the thirst. Plant Dis. 86:4-14. DOI ScienceOn |
17 | Manobianco, J., Zack, J. W. and Taylor, G. E. 1996. Workstationbased real-time mesoscale modeling designed for weather support to operations at the Kennedy Space Center and Cape Canaveral Air Station. Bull. Am. Meteor. Soc. 77:653-672. DOI |
18 | Myers, D. E. 1994. Spatial interpolation: an overview. Geoderma 62:17-28. DOI ScienceOn |
19 | Russo, J. M. and Zack, J. W. 1997. Downscaling GCM output with a mesoscale model. J. Envir. Management 49:19-29. DOI ScienceOn |
20 | Anderson, M. C., Bland, W. L. and Norman, J. M. 2001. Canopy wetness and humidity prediction using satellite and synopticscale meteorological observations. Plant Dis. 85:1018-1026. DOI ScienceOn |
21 | Barry, R. G. and Chorley, R. J. 2003. Atmosphere, weather and climate. Routledge, London. 472 pp. |
22 | Campbell, C. L. and Madden, L. V. 1990. Forecasting plant diseases. In: Introduction to plant disease epidemiology: John Wiley & Sons, Inc., New York, USA. |
23 | Dodson, R. and Marks, D. 1997. Daily air temperature interpolated at high spatial resolution over a large mountainous region. Clim. Res. 8:1-20. DOI |
24 | Geiger, R. 1965. The climate near the ground. Harvard University Press, Cambridge, MA. |
25 | Kim, K. R. 2000. Weather-driven models for rice leaf blast and their implementation to forecast disease development on the near real-time basis. PhD Thesis, Seoul National University, Suwon, Korea. |
26 | Joo, H. D., Lee, M. J. and Ham, I. W. 2005. The characteristics of air temperature according to the location of automatic weather system. J. Atmosphere 15:179-186. |
27 | Kaplan, M. L., Zack, J. W., Wong, V. C. and Tucillo, J. J. 1982. Initial results from a mesoscale atmospheric simulation system and comparisons with an AVE-SESAME I data set. Monthly Weather Review 110:1564-1590. DOI |
28 | Kim, K. R. 1995. Development of a rice blast forecasting system based on near real-time microclimatic data, M. S. Thesis, Seoul National University, Suwon, Korea. |
29 | Kim, K. R., Seem, R. C., Park, E. W., Zack, J. W. and Magarey, R. D. 2005. Simulation of grape downy mildew development across geographic areas based on mesoscale weather data using supercomputer. Plant Pathol. J. 21:111-118. DOI ScienceOn |