The Application of Computer Image Analysis Based on Textural Features for the Identification of Barley Kernels Infected with Fungi of the Genus Fusarium

Arabi, M.I.E., Allaf, A.W., Jawhar, M. (2012). Thermoanalytical study of barley seeds infected with Pyrenophora graminea. Journal of Plant Biology Research, 1(3), 119-123.Search in Google Scholar

Barbedo, J.G.A., Tibola, C.S., Fernandes, J.M.C. (2015). Detecting Fusarium head blight in wheat kernels using hyperspectral imaging. Biosystems Engineering, 131, 65-76.10.1016/j.biosystemseng.2015.01.003Search in Google Scholar

Barbedo, J.G.A., Tibola, C.S., Lima, M.I.P. (2017). Deoxynivalenol screening in wheat kernels using hyperspectral imaging. Biosystems Engineering, 155, 24-32.10.1016/j.biosystemseng.2016.12.004Search in Google Scholar

Bouckaert, R.R., Frank, E., Hall, M., Kirkby, R., Reutemann, P., Seewald, A., Scuse, D. (2016). WEKA Manual for Version 3-9-1. The University of Waikato, Hamilton, New Zealand.Search in Google Scholar

Choudhary, R., Paliwal, J., Jayas, D.S. (2008). Classification of cereal grains using wavelet, morphological, color, and textural features of non-touching kernel images. Biosystems Engineering, 99, 330-337.10.1016/j.biosystemseng.2007.11.013Search in Google Scholar

Hossain, M.Z., Goto, T. (2015). A rapid determination of ergosterol in grains using gas chromatography– mass spectrometry method without derivatization. Food Analytical Methods, 8, 1021-1026.10.1007/s12161-014-9983-7Search in Google Scholar

Jin, F., Bai, G., Zhang, D., Dong, Y., Ma, L., Bockus, W., Dowell, F. (2014). Fusarium-damaged kernels and deoxynivalenol in Fusarium-infected U.S. winter wheat. Phytopathology, 104(5), 472-478.Search in Google Scholar

Jin, Zh., Zhou, B., Gillespie, J., Gross, Th., Barr, J., Simsek, S., Brueggeman, R., Schwarz, P. (2018). Production of deoxynivalenol (DON) and DON-3-glucoside during the malting of Fusarium infected hard red spring wheat. Food Control, 85, 6-10.10.1016/j.foodcont.2017.09.002Search in Google Scholar

Jirsa, O., Polišenska, I. (2011). Identification of Fusarium damaged wheat kernels using image analysis. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 59, 125-130.Search in Google Scholar

Karlsson, I., Friberg, H., Kolseth, A.K., Steinberg, Ch., Persson, P. (2017). Agricultural factors affecting Fusarium communities in wheat kernels. International Journal of Food Microbiology, 252, 53-60.10.1016/j.ijfoodmicro.2017.04.011Search in Google Scholar

Legrand, F., Picot, A., Cobo-Díaz, J.F., Chen, W., Le Floch, G. (2017). Challenges facing the biological control strategies for the management of Fusarium Head Blight of cereals caused by F. graminearum. Biological Control, 113, 26-38.10.1016/j.biocontrol.2017.06.011Search in Google Scholar

Menesatti, P., Antonucci, F., Costa, C., Santori, A., Niciarelli, I., Infantino, A. (2009). Application of morphometric image analysis system to evaluate the incidence of Fusarium head blight wheat infected kernels. In: Proceedings of Bornimer Agrartechnische Berichte–Heft, Potsdam, Berlin, Germany, 157-161.Search in Google Scholar

Paliwal, J., Visen, N.S., Jayas, D.S., White, N.D.G. (2003). Cereal grain and dockage identification using machine vision. Biosystems Engineering, 85(1), 51-57.10.1016/S1537-5110(03)00034-5Search in Google Scholar

Ropelewska, E., Zapotoczny, P. (2018). Classification of Fusarium-infected and healthy wheat kernels based on features from hyperspectral images and flatbed scanner images: a comparative analysis. European Food Research and Technology, 244, 1453-1462.10.1007/s00217-018-3059-7Search in Google Scholar

Suproniene, S., Sakalauskas, S., Stumbriene, K., Zvirdauskiene, R., Svegzda, P. (2016). Variances in trichothecene chemotype distribution in Lithuanian wheat grain and within pure culture Fusarium graminearum isolated from the same grain samples. European Journal of Plant Pathology, 144, 371-381.10.1007/s10658-015-0774-9Search in Google Scholar

Symons, S.J., Clear, R.M., Bell, K., Butler, C. (2002). Identifying wheat and barley seed affected by Fusarium head blight. Grain biology bulletin No.2 (3rd ed.) Grain Research Laboratory, Canadian Grain Commission, Winnipeg: Canada.Search in Google Scholar

Szczypiński, P.M., Strzelecki, M., Materka, A., Klepaczko, A. (2009). MaZda – A software package for image texture analysis. Computer Methods and Programs in Biomedicine, 94(1), 66-76.10.1016/j.cmpb.2008.08.00518922598Search in Google Scholar

Zapotoczny, P. (2012). Application of image texture analysis for varietal classification of barley. International Agrophysics, 26, 81-90.10.2478/v10247-012-0012-zSearch in Google Scholar