Insect Detection and Classification Based on an Improved Convolutional Neural Network.

Xia, Denan; Chen, Peng; Wang, Bing; Zhang, Jun; Xie, Chengjun

Xia, Denan; Chen, Peng; Wang, Bing; Zhang, Jun; Xie, Chengjun.

Afiliación

Xia D; School of Computer Science and Technology, Anhui University, Hefei 230601, Anhui, China. ahu0086@163.com.
Chen P; School of Computer Science and Technology, Anhui University, Hefei 230601, Anhui, China. pchen@ahu.edu.cn.
Wang B; Institute of Physical Science and Information Technology, Anhui University, Hefei 230601, Anhui, China. pchen@ahu.edu.cn.
Zhang J; School of Electrical and Information Engineering, Anhui University of Technology, Ma'anshan 243032, Anhui, China. wangbing@ustc.edu.
Xie C; School of Electrical Engineering and Automation, Anhui University, Hefei 230601, Anhui, China. wwwzhangjun@163.com.

Sensors (Basel) ; 18(12)2018 Nov 27.

Article en En | MEDLINE | ID: mdl-30486481

Palabras clave

VGG19; convolutional neural network; field crops; insect detection; region proposal network

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2018 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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