Validation of a commercial system for remote estimation of wetness duration

Plant Disease

Volumn 81, Issue 7, 1997, Pages 825-829

  Gleason, Mark L ^a   Parker, Sharon K ^a   Pitblado, Ron E ^b   Latin, Richard X ^c   Speranzini, Donna ^d   Hazzard, Ruth V ^e   Maletta, Martha J ^f   Cowgill Jr , Winfred P ^f   Biederstedt, Darvin L ^g  

^a IOWA STATE UNIVERSITY   (United States)

^b Ridgetown College   (Canada)

^c PURDUE UNIVERSITY   (United States)

^d FOOD AND RURAL AFFAIRS   (Canada)

^e UNIVERSITY OF MASSACHUSETTS   (United States)

^f RUTGERS UNIVERSITY   (United States)

^g Campbell Soup Company   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0030854462     PISSN: 01912917     EISSN: None     Source Type: Journal    
DOI: 10.1094/PDIS.1997.81.7.825     Document Type: Article

References (18)

1. Campbell, C. L., and Madden, L. V. 1990. Introduction to Plant Disease Epidemiology. John Wiley & Sons, New York.
2. Funt, R. C., Ellis, M. A., and Madden, L. V. 1990. Economic analysis of protectant and disease-forecast-based fungicide spray programs for control of apple scab and grape black rot in Ohio. Plant Dis. 74:638-642.
3. Gillespie, T. J., and Kidd, G. E. 1978. Sensing duration of leaf moisture retention using electrical impedance grids. Can. J. Plant Sci. 58:179-187.
4. Gleason, M. L., MacNab, A. A., Pitblado, R. E., Ricker, M. D., East, D. A., and Latin, R. X. 1995. Disease-warning systems for processing tomatoes in eastern North America: Are we there yet? Plant Dis. 79:113-121.
5. Gleason, M. L., Taylor, S. E., Loughin, T. M., and Koehler, K. J. 1994. Development and validation of an empirical model to estimate the duration of dew periods. Plant Dis. 78:1011-1016.
6. Huband, N. D. S., and Butler, D. R. 1984. A comparison of wetness sensors for use with computer or microprocessor systems designed for disease forecasting. Proc. Br. Crop Prot. Conf. 2:633-638.
7. Huber, L., and Gillespie, T. J. 1992. Modeling leaf wetness in relation to plant disease epidemiology. Annu. Rev. Phytopathol. 30:553-577.
8. Kaplan, M. L., Zack, J. W., Wong, V. C, and Tucillo, J. J. 1982. Initial results from an atmospheric simulation system and comparisons with an AVE-SESAME I data set. Mon. Weather Rev. 110:1564-1590.
9. Kelley, J. G. W., Russo, J. M., Eyton, J. R., and Carlson, T. N. 1988. Mesoscale forecasts generated from operational numerical weather-prediction model output. Bull. Am. Meteorol. Soc. 69:7-15.
10. Latin, R., and Evans, K. J. 1996. Development and delivery of a forecaster for Alternaria leaf blight of muskmelon. (Abstr.) Phytopathology 86:S106.
11. Pedro, M. J., and Gillespie, T. J. 1982. Estimating dew duration. I. Utilizing meteorological data. Agric. Meteorol. 25:297-310.
12. Potratz, K. J., Gleason, M. L., Hockmuth, M. L., Parker, S. K., and Pearston, G. A. 1994. Testing the accuracy and precision of wetness sensors in a tomato field and on turfgrass. J. Iowa Acad. Sci. 101:56-60.
13. Royer, M. H., Russo, J. M., and Kelley, J. G. W. 1989. Plant disease prediction using a mesoscale weather forecasting technique. Plant Dis. 73:618-624.
14. Russo, J. M., Travis, J. W., and Truxall, D. L. 1996. Simulated mesoscale weather data as input into an apple expert system. Pages 334-335 in: Proc. Conf. Agric. For. Meteor., 22nd. Amer. Meteor. Soc., Boston, MA.
15. Sutton, J. C., Gillespie, T. J., and Hildebrand, T. J. 1984. Monitoring weather factors in relation to plant disease. Plant Dis. 68:78-84.
16. Thompson, N. 1981. The duration of leaf wetness. Meteorol. Mag. 110:1-12.
17. Truxall, D. L. 1995. An environmentally driven model for grape black rot scouting and the impact of environmental data differences on disease control decision-making. Ph.D. thesis. Pennsylvania State University, University Park.
18. Truxall, D. L., and Travis, J. W. 1994. Analysis of the accuracy of predicted weather data on the impact of apple disease management. (Abstr.) Phytopathology 84:1125.