Automatic greenhouse insect pest detection and recognition based on a cascaded deep learning classification method-Reference-Cited by-同舟云学术

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Automatic greenhouse insect pest detection and recognition based on a cascaded deep learning classification method

Published:2020-11-20 Issue:3 Volume:145 Page:206-222
ISSN:0931-2048
Container-title:Journal of Applied Entomology
language:en
Short-container-title:J Appl Entomol

Author:

Rustia Dan Jeric Arcega¹^ORCID,Chao Jun‐Jee¹,Chiu Lin‐Ya¹,Wu Ya‐Fang²,Chung Jui‐Yung²,Hsu Ju‐Chun³^ORCID,Lin Ta‐Te¹^ORCID

Affiliation:

1. Department of Biomechatronics Engineering National Taiwan University Taipei Taiwan

2. Tainan District Agricultural Research and Extension Station Council of Agriculture Tainan Taiwan

3. Department of Entomology National Taiwan University Taipei Taiwan

Funder

Council of Agriculture

Publisher

Wiley

Subject

Insect Science,Agronomy and Crop Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jen.12834

Reference44 articles.

1. Towards Open Set Deep Networks

2. A cognitive vision approach to early pest detection in greenhouse crops

3. The OpenCV library;Bradski G.;Dr. Bobb's Journal of Software Tools,2000

4. Convolutional low-resolution fine-grained classification

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