Biotype identification of Bemisia tabaci by acoustical method

Nakabayashi, Hiroki

Mizutani, Koichi

Ebihara, Tadashi

Wakatsuki, Naoto

Uga, Hiroyuki

Kubota, Kenji

Ishii, Masahisa

Hungarian Association of Agricultural Informatics

2017

QL Zoology / állattan

S1 Agriculture (General) / mezőgazdaság általában

SB975 Plant protection / növényvédelem

Bemisia tabaci has two major biotypes: B and Q. Biotype identification is necessary for whitefly control, since different biotypes have different pesticide resistance. However, slow and expensive techniques are needed for accurate biotype classification. In this paper, we propose a whitefly biotype identification scheme using an acoustic signature, and evaluate its performance. The proposed scheme achieves biotype identification by three steps: signal detection, frequency-domain matching, and classification of biotypes. We evaluated the performance of the proposed scheme by processing actual whitefly sounds obtained in a recording experiment, and calculated the accuracy of the classification.Results showed the proposed biotype identification method achieved a correct detection rate of 92% in Bemisia tabaci. This result suggests that the proposed scheme is a viable alternative for biotype identification of whitefly.

angol

Article

PeerReviewed

info:eu-repo/semantics/article

text

https://real.mtak.hu/196723/1/document%20%2821%29.pdf

Nakabayashi, Hiroki and Mizutani, Koichi and Ebihara, Tadashi and Wakatsuki, Naoto and Uga, Hiroyuki and Kubota, Kenji and Ishii, Masahisa (2017) Biotype identification of Bemisia tabaci by acoustical method. AGRÁRINFORMATIKA / JOURNAL OF AGRICULTURAL INFORMATICS, 8 (3). pp. 11-22. ISSN 2061-862X

https://real.mtak.hu/196723/

http://doi.org/10.17700/jai.2017.8.3.391

MTMT:34925353 doi:10.17700/jai.2017.8.3.391

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