Detection of the granary weevil based on X-ray images of damaged wheat kernels

Journal of Stored Products Research

Volumn 56, Issue , 2014, Pages 38-42

  Boniecki, P ^a   Piekarska Boniecka, H ^a   Swierczynski K ^a   Koszela, K ^a   Zaborowicz, M ^a   Przybyl J ^a  

^a POZNA UNIVERSITY OF LIFE SCIENCES   (Poland)

Author keywords

Analysis of digital X ray images; Granary weevil identification; Neural modeling

Indexed keywords

SITOPHILUS GRANARIUS; TRITICUM AESTIVUM;

EID: 84891825918     PISSN: 0022474X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jspr.2013.11.001     Document Type: Article

References (26)

1. Alfatni M., Shariff A., Abdullah M., Marhaban M., Saaed O. The application of internal grading system technologies for agricultural products - review. J.Food Eng. 2013, 116:703-725.
2. Atui M.B., Flinn P.W., Lazzari S.M.N., Lazzari F.A. Detection of Rhyzopertha dominica larvae in stored wheat using ELISA: the impact of myosin degradation following fumigation. J.Stored Prod. Res. 2007, 43:156-159.
3. Boniecki P., Dach J., Pilarski K., Piekarska-Boniecka H. Artificial neural networks for modeling ammonia emissions released from sewage sludge composting. Atmos. Environ. 2012, 57:49-54.
4. Boniecki P., Nowakowski K., Tomczak R.J. Neural networks type MLP in the process of identification chosen varieties of maize. 3rd International Conference on Digital Image Processing (ICDIP 2011), Proceedings of SPIE 2011, 10.1117/12.896184.
5. Boniecki P., Dach J., Nowakowski K., Jakubek A. Neural image analysis of maturity stage during composting of sewage sludge. International Conference on Digital Image Processing (ICDIP 2009), Proceedings 2009, 200-203. 10.1109/ICDIP.2009.85.
6. Brabec D., Pearson T., Flinn P., Katzke D. Detection of internal insects in wheat using a conductive roller mill and estimation of insect fragments in the resulting flour. J.Stored Prod. Res. 2010, 46:180-185.
7. Cheng-Jin Du, Da-Wen Sun Learning techniques used in computer vision for food quality evaluation: a review. J.Food Eng. 2006, 72:39-55.
8. Dah-Jye L., Schoenberger R., Archibald J., McCollum S. Development of a machine vision system for automatic date grading using digital reflective near-infrared imaging. J.Food Eng. 2008, 86:388-398.
9. Fornal J., Jelinski T., Sadowska J., Grundas S., Nawrot J., Niewiada A., Warchalewsk i.J.R., Blaszczak W. Detection of granary weevil Sitophilus granarius (L.) eggs and internal stages in wheat grain using soft X-ray and image analysis. J.Stored Prod. Res. 2007, 43:142-148.
10. Karunakaran C., Jayas D.S., White N. X-ray image analysis to detect infestations caused by insects in grain. Cereal Chem. 2003, 80:553-557.
11. Karunakaran C., Jayas D.S., White N.D.G. Detection of internal wheat seed infestation by Rhyzopertha dominica using X-ray imaging. J.Stored Prod. Res. 2004, 40:507-516.
12. Koszela, K., Weres, J., Boniecki, P., Zaborowicz, M., Przybył, J., Dach, J., Pilarski, K., D. Janczak, D., 2013. Computer image analysis in the quality procedure for selected carrot varieties. Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 887811. doi:10.1117/12.2030701.
13. Manickavasagan A., Jayas D.S., White N.D.G. Thermal imaging to detect infestation by Cryptolestes ferrugineus inside wheat kernels. J.Stored Prod. Res. 2008, 44:186-192.
14. Mery D., Lillo I., Loebel H., Riffo V., Soto A., Cipriano A., Aguilera J.M. Automated fish bone detection using X-ray imaging. J.Food Eng. 2011, 105:485-492.
15. Mezreb K., Goullieux A., Ralainirina R., Queneudec M. Application of image analysis to measure screw speed influence on physical properties of corn and wheat extrudates. J.Food Eng. 2003, 57:145-152.
16. Nawrocka A., Stepien E., Grundas S., Nawrot J. Mass loss determination of wheat kernels infested by granary weevil from X-ray images. J.Stored Prod. Res. 2012, 48:19-24.
17. Neethirajan S., Jayas D.S., White N.D.G. Detection of sprouted wheat kernels using soft X-ray image analysis. J.Food Eng. 2007, 81:509-513.
18. Niewiada A., Nawrot J., Szafranek B., Szafranek J., Synak E., Jeleń H., Wasowicz E. Some factors affecting egg-laying of granary weevil Sitophilus granarius (L.). J.Stored Prod. Res. 2005, 41:544-555.
19. Piekarska-Boniecka H., Kadiubowski W., Siatkowski I. Study of bionomy of the privet sawfly (Macrophya punctumalbum (L.)) (Hymenoptera, Tenthredinidae) - a pest of park plants. Acta Sci. Pol. Hortorum Cultus 2008, 7(1):3-11.
20. Singh C.B., Jayas D.C., Paliwal J., White N.D.G. Detection of insect-damaged wheat kernels using near-infrared hyperspectral imaging. J.Stored Prod. Res. 2009, 45:151-158.
21. Singh C.B., Jayas D.S., Paliwal J., White N.D.G. Identification of insect-damaged wheat kernels using short-wave near-infrared hyperspectral and digital colour imaging. Comput. Electron. Agric. 2011, 73:118-125.
22. Slosarz P., Stanisz M., Boniecki P., Przybylak A., Lisiak D., Ludwiczak A. Artificial neural network analysis of ultrasound image for the estimation of intramuscular fat content in lamb muscle. Afr. J. Biotechnol. 2011, 10:11792-11796.
23. Szczypinski P.M., Zapotoczny P. Computer vision algorithm for barley kernel identification, orientation estimation and surface structure assessment. Comput. Electron. Agric. 2012, 87:32-38.
24. Trematerra P., Fontana F., Mancini M., Sciarretta A. Influence of intact and damaged cereal kernels on the behaviour of rice weevil, Sitophilus oryzae (L.) (Coleoptera: Curculionidae). J.Stored Prod. Res. 1999, 35:265-276.
25. Trematerra P., Ianiro R., Athanassiou C.G., Kavallieratos N.G. Behavioral responses of Sitophilus zeamais Motschulsky adults to conditioned grain kernels. J.Stored Prod. Res. 2013, 53:77-81.
26. Utku H., Kijksel H. Use of statistical filters in the classification of wheats by image analysis. J.Food Eng. 1998, 36:385-394.