Abstract
Real-time technology was developed and tested to variably apply fungicides on the plant surface of cereals. An important step towards variable-rate fungicide application in real time is the development and operation of online sensors for measuring plant parameters. The sensor signal of the CROP-Meter (real-time sensor to measure crop biomass density) is correlated with the Leaf Area Index, a measurement characterising the plant surface. Geostatistical analysis of the sensor values in the experimental fields showed that the autocorrelation distance was greater than 25 m, which was wider than the spray boom of the sensor-controlled field sprayer. Control of individual sections of the spray boom was therefore not necessary in the 5-year experiments. In the eleven field trials, average fungicide savings of 22% were achieved. Field scale strip trials were conducted with the sensor-operated field sprayer to analyse the yield response of the crop. Higher, lower, as well as similar yield levels were obtained in the variable-rate plots by comparison with the uniform plots.
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References
Anonymous, (1972). Biometrische Versuchsplanung (Biometric design of experiments). Germany: VEB Deutscher Landwirtschaftsverlag Berlin.
Anonymous, (1999). SunScan user manual. Cambridge, UK: Delta-T Devices.
Bjerre, K. D. (1999). Disease maps and site-specific fungicide application in winter wheat. In: J. V. Stafford (Eds.), Precision Agriculture ‘99, Proceedings of the 2nd European Conference on Precision Agriculture (pp. 495–504). Sheffield, UK: Sheffield Academic Press.
Broscious, S. C., Frank, J. A., & Frederick, J. R. (1985). Influence of winter wheat management practices on the severity of powdery mildew and Septoria blotch in Pennsylvania. Phytopathology, 75, 538–542.
Burth, U., Hartleb, W., Hartmann, W., & Hamann, W. (1990). Zur variablen, situationsbezogenen Bemessung der Aufwandmenge bei der Applikation von Pflanzenschutzmitteln (Variable situation based adaptation of the application rate of pesticides). Nachrichtenblatt für den Pflanzenschutzdienst in der DDR, 44, 194–196.
Campbell, C. L., & Madden, L. V. (1990). Introduction to plant disease epidemiology. New York, USA: Wiley Interscience.
Cressie, N. A. C. (1993). Statistics for spatial data. New York, USA: Wiley.
Dammer, K.-H. (1999). Analyse und Darstellung der Dispersion von Schaderregern sowie Möglichkeiten der Stichprobennahme bei aggregiertem Auftreten (Analysis and dispersion maps of pests and sampling design under their aggregated pattern). Germany: Kropstädt.
Dammer, K.-H. (2003). In: Investigations into the dynamic of climatic parameters and infections with fungi diseases in heterogeneous cereal stands (p. 23). Potsdam, Germany: Jahresbericht des ATB.
Ehlert, D., Hammen, V., & Adamek, R. (2003). On-line sensor pendulum-meter for determination of plant mass. Precision Agriculture, 4, 139–148.
Fleischer, S. J., Blom, P. E., & Weisz, R. (1999). Sampling in precision IPM: When the objective is a map. Phytopathology, 89, 1112–1118.
Hughes, G., & Madden, L. V. (1995). Some methods allowing for aggregated pattern of disease incidence in the analysis of data from designed experiments. Plant Pathology, 44, 927–943.
Isaaks, E., & Srivastava, R. M. (1989). Applied geostatistics. New York, USA: Oxford University Press.
Kranz, J., & Rotem, J. (1988). Experimental techniques in plant disease epidemiology. Berlin, Germany: Springer-Verlag.
Jeger, M. J. (1989). Spatial components of plant disease epidemics. Englewood Cliffs, USA: Prentice Hall.
Murray, G. M., Ellison, P. J., Watson, A., & Cullis, B. R. (1994). The relationship between wheat yield and stripe rust as affected by length of epidemic and temperature at the grain development stage of crop growth. Plant Pathology, 43, 397–405.
Park, R. F., Ash, G. J., & Rees, R. G. (1992). Effect of temperature on the response of some Australian wheat cultivars to Puccinia striiformis f. sp. tritici. Mycological Research, 96, 166–170.
Rozalski, K., Pudelko, J., & Skrzypczak, G. (1998). Disease incidence in winter wheat and spring triticale as influenced by crop protection and nitrogen. Progress in Plant Protection, 38, S.551–S.554.
Sentelhas, P. C., Pedro, M. J., & Felicio, J. C. (1993). Effects of different conditions of irrigation and crop density on microclimate and occurrence of spot blotch and powdery mildew. Bragantia, 52, 45–52.
Secher, B. J. M. (1997). Site specific control of diseases in winter wheat. Aspects of Applied Biology, 48, 57–65.
Statler, G. D., & Christianson, T. (1993). Temperature studies with wheat leaf rust. Canadian Journal of Plant Pathology, 15, 97–101.
Van der Plank, J. E. (1963). Plant diseases: Epidemics and control. London, UK: Academic Press.
Welles, J. M., & Norman, J. M. (1991). Instrument for indirect measurement of canopy architecture. Agronomy Journal, 83, 818–825.
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Dammer, KH., Ehlert, D. Variable-rate fungicide spraying in cereals using a plant cover sensor. Precision Agric 7, 137–148 (2006). https://doi.org/10.1007/s11119-006-9005-x
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DOI: https://doi.org/10.1007/s11119-006-9005-x