Artificial intelligence in pest insect monitoring

Systematic Entomology

Volumn 34, Issue 2, 2009, Pages 398-400

  Fedor, Peter ^a   VaŇhara, Jaromír ^b   Havel, Josef ^b   MalenovskÝ, Igor ^c   Spellerberg, Ian ^d  

^a Physics and Informatics   (Slovakia)

^b MASARYK UNIVERSITY   (Czech Republic)

^c DEPARTMENT OF ENTOMOLOGY   (Czech Republic)

^d LINCOLN UNIVERSITY   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; DIGITAL IMAGE; HUNGER; IMAGE ANALYSIS; MALNUTRITION; MORPHOMETRY; PEST SPECIES; RELIABILITY ANALYSIS; THRIPS;

CLAVUS; HEXAPODA; THYSANOPTERA;

EID: 62849083862     PISSN: 03076970     EISSN: 13653113     Source Type: Journal    
DOI: 10.1111/j.1365-3113.2008.00461.x     Document Type: Article

References (5)

1. Fedor, P., Malenovský, I., Vaňhara, J., Sierka, W. Havel, J 2008) Thrips (Thysanoptera) identification using artificial neural networks. Bulletin of Entomological Research, 98, 437 447.
2. Gaston, K.J. O'Neill, M.A 2004) Automated species identification: why not? Philosophical Transactions of the Royal Society of London, Series B, 359, 655 667.
3. MacLeod, N ed 2008) Automated Taxon Identification in Systematics. Theory, Approaches and Applications. CRC Press, Boca Raton.
4. Moritz, G., Morris, D.C. Mound, L.A 2001) Thrips ID - Pest Thrips of the World. CD ROM. ACIAR, CSIRO Publishing, Collingwood, Australia.
5. Trajan Software, Ltd (1996 1998) Trajan Neural Network Simulator, Version 3.0D, Computer Program. Trajan Software, Horncastle, Lincolnshire.