Eggshell crack detection by acoustic impulse response and support vector machine

African Journal of Agricultural Research

Volumn 4, Issue 1, 2009, Pages 040-048

  Deng, Xiaoyan ^a   Wang, Qiaohua ^a   Wu, Lanlan ^a   Gao, Hong ^a   Wen, Youxian ^a   Wang, Shucai ^a  

^a HUAZHONG AGRICULTURAL UNIVERSITY   (China)

Author keywords

Acoustic impulse response; Detection; Eggshell crack; Frequency feature; Support vector machine

Indexed keywords

EID: 76549105638     PISSN: None     EISSN: 1991637X     Source Type: Journal    
DOI: None     Document Type: Article

References (16)

1. DE Ketelaere B, Bamelis F, Kemps B, Decuypere K, DE Baerdemaeker J (2004). Don-destructive measurements of the egg quality. World's Poult. Sci. J. 60: 289-302.
2. Hunton P (1995) Understanding the architecture of the eggshell. World's Poultry Sci. J. 51: 140-147.
3. Cho HK, Kwon Y (1996). Crack detection in eggs by machine vision. Transactions of the ASAE, 39(3): 777-784.
4. Cho HK, Choi WK, Paek JH (2000). Detection of surface cracks in shell eggs by acoustic impulse method. Transactions of ASAE, 43(6): 1921-1926.
5. DE Ketelaere, B, Coucke, P, DE Baerdemaeher, J (2000). Eggshell crack detection based on acoustic resonance frequency analysis. J. Agric. Eng. Res. 76(2): 157-163.
6. Wang J, Jiang RS (2005). Eggshell crack detection by dynamic frequency analysis. Eur. Food Res. Technol. 221: 214-220.
7. Jindal VK, Sritham E, (2003). Detecting Eggshell Cracks by Acoustic Impulse Response and Artificial Neural Networks. ASAE Annual International Meeting, Las Vegas, USA, 27-30 July.
8. Coucke P, DEWIL E, Decuypere E, DE Baerdemaeker, J (1999). Measuring the mechanical stiffness of an eggshell using resonant frequency analysis. Brit. Poultry Sci. 40: 227-232.
9. Wang J, Jiang RS, Yu Y (2003). Relationship between dynamic resonance frequency and egg physical properties. Food Res. Int. 37: 45-50.
10. Kemps BJ, DE Ketelaere B, Bamelis FR, Decuypere EM, DE Baerdemaeker JG (2003). Vibration analysis on incubation eggs and its relation to embryonic development. Biotechnol. Progress 19: 1022-1025.
11. Sinha DN, Johnston RG, Grace WK, Lemanski CL (1992). Acoustic resonance in chicken eggs. Biotechnology Progress 8: 240-243.
12. Vapnik V (1995). The nature of statistical learning theory, Springer, New York.
13. Mira T, Nigel S (2008). Application of distributed SVM architectures in classifying forest data cover types. Computers Electronics in Agric. 63(2): 119-130.
14. Karimi Y, Prasher SO, Patel RM, Kim SH (2006). Application of support vector machine technology for weed and nitrogen stress detection in corn. Computers and Electronics in Agric. 51(1-2): 99-109.
15. Ma XX, Huang XY (2000). 2PTMC classification algorithm based on support vector machines and its application to fault diagnosis. Control and Decision 3: 272-284.
16. Chang CC, Lin CJ (2001). LIBSVM: a library for support vector machines, Software available at http://www.csie.ntu.edu.tw/cjlin/libsvm.