Deep learning for automated detection of Drosophila suzukii : potential for UAV ‐based monitoring-Reference-Cited by-同舟云学术

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Deep learning for automated detection of Drosophila suzukii : potential for UAV ‐based monitoring

Published:2020-04-20 Issue:9 Volume:76 Page:2994-3002
ISSN:1526-498X
Container-title:Pest Management Science
language:en
Short-container-title:Pest Manag Sci

Author:

Roosjen Peter PJ¹^ORCID,Kellenberger Benjamin¹,Kooistra Lammert¹,Green David R²,Fahrentrapp Johannes³

Affiliation:

1. Laboratory of Geo‐Information Science and Remote Sensing Wageningen University & Research Wageningen The Netherlands

2. UAV/UAS Centre for Environmental Monitoring and Mapping University of Aberdeen Aberdeen UK

3. Institute of Natural Resource Sciences Zurich University of Applied Sciences Winterthur Switzerland

Funder

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Publisher

Wiley

Subject

Insect Science,Agronomy and Crop Science,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ps.5845

Reference35 articles.

1. Integrated Pest Management: Historical Perspectives and Contemporary Developments

2. Automatic moth detection from trap images for pest management

3. Vision-based pest detection based on SVM classification method

4. Machine learning for image based species identification

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