Application of artificial neural network for automatic detection of butterfly species using color and texture features

Author:

Kaya Yılmaz,Kayci Lokman

Publisher

Springer Science and Business Media LLC

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software

Reference27 articles.

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2. Paul, H., Ryan, G.: The promise of DNA barcoding for taxonomy. Syst. Biol. 54(5), 852–859 (2005)

3. Wang, J., Ji, L., Liang, A., Decheng, Y.: The identification of butterfly families using content-based image retrieval. Biosyst. Eng. 3, 24–32 (2011)

4. Qing, Y., Liu, Q.-j., Yang, B.-j., Chen, H.-m., Tang, J.: An insect imaging system to automate rice light-trap pest identification. J. Integr. Agric. 11, 978–985 (2012)

5. Wen, C., Guyer, D.E., Li, W.: Local feature-based identification and classification for orchard insects. Biosyst. Eng. 104, 299–307 (2009)

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