Have a personal or library account? Click to login
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.
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.
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.2007.11.013
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/s12161-014-9983-7
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.
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.2017.09.002
Jirsa, O., Polišenska, I. (2011). Identification of Fusarium damaged wheat kernels using image analysis. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 59, 125-130.10.11118/actaun201159050125
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.2017.06.011
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.
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/s00217-018-3059-7
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/s10658-015-0774-9
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.
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.2008.08.00518922598
Zapotoczny, P. (2012). Application of image texture analysis for varietal classification of barley. International Agrophysics, 26, 81-90.10.2478/v10247-012-0012-z