Acta Univ. Agric. Silvic. Mendelianae Brun. 2011, 59(5), 125-130 | DOI: 10.11118/actaun201159050125
Identification of Fusarium damaged wheat kernels using image analysis
- Agrotest fyto, s. r. o., Havlíčkova 2787/121, 767 01 Kroměříž, Česká republika
Visual evaluation of kernels damaged by Fusarium spp. pathogens is labour intensive and due to a subjective approach, it can lead to inconsistencies. Digital imaging technology combined with appropriate statistical methods can provide much faster and more accurate evaluation of the visually scabby kernels proportion. The aim of the present study was to develop a discrimination model to identify wheat kernels infected by Fusarium spp. using digital image analysis and statistical methods. Winter wheat kernels from field experiments were evaluated visually as healthy or damaged. Deoxynivalenol (DON) content was determined in individual kernels using an ELISA method. Images of individual kernels were produced using a digital camera on dark background. Colour and shape descriptors were obtained by image analysis from the area representing the kernel. Healthy and damaged kernels differed significantly in DON content and kernel weight. Various combinations of individual shape and colour descriptors were examined during the development of the model using linear discriminant analysis. In addition to basic descriptors of the RGB colour model (red, green, blue), very good classification was also obtained using hue from the HSL colour model (hue, saturation, luminance). The accuracy of classification using the developed discrimination model based on RGBH descriptors was 85 %. The shape descriptors themselves were not specific enough to distinguish individual kernels.
Keywords: Fusarium, mycotoxin, DON, deoxynivalenol, image analysis, wheat
Grants and funding:
This work was supported by the Ministry of Agriculture of the Czech Republic (QG60047) and the Czech Science Foundation (525/09/P647).
Received: March 8, 2011; Published: March 23, 2014 Show citation
References
- BEYER, M., KLIX, M. B., VERREET, J.-A., 2007: Estimating mycotoxin contents of Fusarium -damaged winter wheat kernels. International Journal of Food Microbiology, 119(3): 153-158. ISSN 0168-1605. DOI: 10.1016/j.ijfoodmicro.2007.07.007
Go to original source...
- BEYER, M., POGODA, F., RONELLENFITSCH, F. K., HOFFMANN, L., UDELHOVEN, T., 2010: Estimating deoxynivalenol contents of wheat samples containing different levels of Fusarium-damaged kernels by diffuse reflectance spectrometry and partial least square regression. International Journal of Food Microbiology, 142(3): 370-374. ISSN 0168-1605. DOI: 10.1016/j.ijfoodmicro.2010.07.016
Go to original source...
- DELWICHE, S. R., PEARSON, T. C., BRABEC, D. L., 2005: High-speed optical sorting of soft wheat for reduction of deoxynivalenol. Plant Disease, 89: 1214-1219. ISSN 0191-2917. DOI: 10.1094/PD-89-1214
Go to original source...
- DEXTER, J. E., NOWICKI, T. W., 2003: Safety assurance and quality assurance issues associated with Fusarium head blight in wheat. In: Leonard, K. J. and Bushnell, W. R. (ed.): Fusarium head blight of wheat and barley. The American Phytopathological Society, St. Paul., Minn., USA, 420-460. ISBN 978-0-89054-302-3.
- LIU, W. Z., ELEN, O. N, SUNDHEIM, L., LANGSETH, W., SKINNES, H., 1997: Comparison of visual head blight ratings, seed infection levels and deoxynivalenol production for assessment of resistance in cereals inoculated with Fusarium culmorum. European Journal of Plant Pathology, 103: 589-595. ISSN 0929-1873. DOI: 10.1023/A:1008693213656
Go to original source...
- MATHUR, S. B., CUNFER, B. M., 1993: Seed-borne diseases and seed health testing of wheat. Danish Gov. Inst. of Seed Pathol. for Develop. Countries, Copenhagen, 83-93.
- NICHOLSON, P., CHANDLER, E., DRAEGER, R. C., GOSMAN, N. E., SIMPSON, D. R., THOMSETT, M., WILSON, A. H., 2003: Molecular tools to study epidemiology and toxicology of Fusarium head blight of cereals. European Journal of Plant Pathology, 109: 691-703. ISSN 0929-1873. DOI: 10.1023/A:1026026307430
Go to original source...
- PAUL, P. A., LIPPS, P. E., MADDEN, L. V., 2005: Relationship between visual estimates of Fusarium head blight intensity and deoxynivalenol accumulation in harvested wheat grain: A meta-analysis. Phytopathology, 95: 1225-1236. ISSN 0031-949X. DOI: 10.1094/PHYTO-95-1225
Go to original source...
- POLIŠENSKÁ, I., TVARŮŽEK, L., 2007: Relationships between deoxynivalenol content, presence of kernels infected by Fusarium spp. pathogens and visually scabby kernels in Czech wheat in 2003-2005. Cereal Research Communications, 35: 1437-1448. ISSN 0133-3720. DOI: 10.1556/CRC.35.2007.3.8
Go to original source...
- R-BIOPHARM, 2007: RIDASCREEN® FAST DON. Enzyme immunoassay for the quantitative analysis of deoxynivalenol. [online]. URL:
- RUAN, R., NING, S., SONG, A., NING, A., JONES, R., CHEN, P., 1998: Estimation of Fusarium scab in wheat using machine vision and a neural network. Cereal Chemistry, 75: 455-459. ISSN 0009-0352. DOI: 10.1094/CCHEM.1998.75.4.455
Go to original source...
- SINHA, R. C., SAVARD, M. E., 1997: Concentration of deoxynivalenol in various tissues of wheat heads. Canadian Journal of Plant Pathology, 19: 8-12. ISSN 0706-0661. DOI: 10.1080/07060669709500578
Go to original source...
- SUCHOWILSKA, E., WIWART, M., 2006: Multivariate analysis of image descriptors of common wheat (Triticum aestivum) and spelt (T. spelta) grain infected by Fusarium culmorum. International Agrophysics, 20: 345-351. ISSN 0236-8722.
- WIWART, M., KOCZOWSKA, I., BORUSIEWICZ, A., 2001: Estimation of fusarium head blight of triticale using digital image analyses of grain. In: Skarbek, W. (ed.): CAIP 2001, LNCS 2124: 563-569.
Go to original source...
- ZHANG, Z., JIN, Y., 2004: Investigation of kernel infection by Fusarium graminearum in wheat. In: Proceedings of the 2nd International Symposium on Fusarium Head Blight; incorporating the 8th European Fusarium Seminar; 2004, 11-15 December, Orlando, FL, USA. Michigan State University, East Lansing, MI, s. 540-542.
This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY NC ND 4.0), which permits non-comercial use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.