Auto‐identification of two <i>Sitophilus</i> sibling species on stored wheat using deep convolutional neural network-Reference-Cited by-同舟云学术

Auto‐identification of two Sitophilus sibling species on stored wheat using deep convolutional neural network

Published:2022-02-10 Issue:5 Volume:78 Page:1925-1937
ISSN:1526-498X
Container-title:Pest Management Science
language:en
Short-container-title:Pest Management Science

Author:

Yang Haiying¹²,Zhao Huiyi²^ORCID,Zhang Dufeng³,Cao Yang²⁴,Teng Shyh Wei⁵,Pang Shaoning⁵,Zhou Xiaoguang¹,Li Yanyu²⁴

Affiliation:

1. Department of Automation Beijing University of Posts and Telecommunications Beijing P. R. China

2. Institute for Grain Storage and Logistics Academy of National Food and Strategic Reserves Administration Beijing P. R. China

3. Sinograin Chengdu Depot Co.Ltd Chengde Grain Depot, Sinograin Hebei P. R. China

4. China‐Australia Joint Centre for Postharvest Grain Biosecurity and Quality Research Beijing P. R. China

5. School of Engineering, Information Technology and Physical Sciences Federation University Australia Mount Helen Australia

Funder

China Agricultural University

Murdoch University

Publisher

Wiley

Subject

Insect Science,Agronomy and Crop Science,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ps.6810

Reference48 articles.

1. Importance of Stored Product Insects

2. Importance of husk covering on field infestation of maize by Sitophilus zeamais Motsch (Coleoptera: Curculionidae) at Bako, Western Ethiopia;Demissie G;Afric J Biotechnol,2008

3. Flight activity of Sitophilus oryzae (L) and Sitophilus zeamais Motsch (Coleoptera: Curculionidae) and its relationship with susceptibility to insecticides

4. A study of pre-harvest infestation of maize by Sitophilus zeamais Motsch. (Coleoptera, Curculionidae) in the Kenya highlands

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