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The National Agricultural Library is one of four national libraries of the United States, with locations in Beltsville, Maryland and Washington, D.C. It houses one of the world's largest and most accessible agricultural information collections and serves as the nexus for a national network of state land-grant and U.S. Department of Agriculture field libraries. In fiscal year 2011 (Oct 2010 through Sept 2011) NAL delivered more than 100 million direct customer service transactions.

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Journal Article

Journal Article

Machine vision algorithm for whiteflies (Bemisia tabaci Genn.) scouting under greenhouse environment  [2009]

Solis-Sánchez, L.O.; García-Escalante, J.J.; Castañeda-Miranda, R.; Torres-Pacheco, I.; et al.

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One of the main problems in greenhouse crop production is the presence of pests. Detection and classification of insects are priorities in integrated pest management (IPM). This document describes a machine vision system able to detect whiteflies (Bemisia tabaci Genn.) in a greenhouse by sensing their presence using hunting traps. The extracted features corresponding to the eccentricity and area of the whiteflies projections allow to establish differences among pests and other insects on both the trap surfaces and dust generated artefacts. Because of whiteflies geometrical characteristics, it was possible to design an efficient (related to manual counting) machine vision algorithm to scout and count units of this pest within a greenhouse environment. These algorithm results show high correlation indexes for both, sticky screens (R² = 0.97) and plant leaf situations (R² = 1.0). The machine vision algorithm reduces the scouting time and the associated human error for IPM-related activities.
From the journal
Journal of applied entomology Zeitschrift für angewandte Entomologie
ISSN : 0931-2048

Bibliographic information

Language:
English
Type:
Journal Article
In AGRIS since:
2013
Volume:
133
Issue:
7
Start Page:
546
End Page:
552
Publisher:
Oxford, UK : Blackwell Publishing Ltd
All titles:
"Machine vision algorithm for whiteflies (Bemisia tabaci Genn.) scouting under greenhouse environment"@eng
Other:
"Includes references"
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Bibliographic information

Language:
English
Type:
Journal Article
In AGRIS since:
2013
Volume:
133
Issue:
7
Start Page:
546
End Page:
552
Publisher:
Oxford, UK : Blackwell Publishing Ltd
All titles:
"Machine vision algorithm for whiteflies (Bemisia tabaci Genn.) scouting under greenhouse environment"@eng
Other:
"Includes references"