Application of the signal processing technology in the detection of Red Palm Weevil

European Signal Processing Conference

Volumn , Issue , 2009, Pages 1597-1601

  Hussein, Walid Barakat ^a   Hussein, Mohamed Ahmed ^a   Becker, Thomas ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DATE PALM; ECONOMIC DAMAGES; SIGNAL PROCESSING SYSTEMS; SIGNAL PROCESSING TECHNOLOGIES; TIME FRAME; UNCONVENTIONAL FEATURES; WINDOW FUNCTIONS;

BIOACOUSTICS;

SIGNAL PROCESSING;

EID: 84855861187     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

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2. D. Blumberg, A. Navon, and et al, "Date palm pests in Israel early second millennium", Alon Hanotea, 55, pp. 42-48., 2001.
3. G. Davis and R. Moore, "Insects on Palms", Borers of palms, Howard, CABI Publishing, Wallingford, UK, pp. 267-305, 2001.
4. V. Soroker, D. Blumberg, and et al, "The current status of red palm weevil infestation in date palm plantations", Israel Phytoparasitica, vol. 33, pp. 97-106, 2005.
5. R. Mankin, A. Mizrach, and et al, "Sounds of Wood-Boring Beetle Larvae", Florida Entomologist, vol. 91(2), pp. 241-248, 2008.
6. R. Mankin, W. L. Osbrink, and et al, "Acoustic detection of termite infestations in urban trees". Journal of Econ. Entomol, pp. 981-988, 1995.
7. A. Hetzroni, A. Mizrach, and et al, "Developing spectral model to monitor activity of red palm weevil". Alon Hanotea, 58, pp. 466-469, 2004.
8. C. Palestrini, G. Pavan, and et al., "Acoustic signals in Copris incertus Say (Coleoptera Scarabaeidae Coprinae)", Ethology, Ecology & Evolution, Special Issue 1, pp. 143-146, 1991.
9. H. Peng, F. Long, and C. Ding, "Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min- redundancy", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27(8), pp.1226-1238, 2005.
10. S. Singhi and H. Liu, "Feature subset selection bias for classification learning", Proceedings of the 23rd international conference on Machine learning, Pittsburgh, Pennsylvania, June 25-29. 2006, pp. 849-856.