Aphid Identification and Counting Based on Smartphone and Machine Vision
Joint Authors
Sun, Lei
Suo, Xuesong
Zi, Liu
Jiao, Wang
Yang, Zhao
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-08-29
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Exact enumeration of aphids before the aphids outbreak can provide basis for precision spray.
This paper designs counting software that can be run on smartphones for real-time enumeration of aphids.
As a first step of the method used in this paper, images of the yellow sticky board that is aiming to catch insects are segmented from complex background by using GrabCut method; then the images will be normalized by perspective transformation method.
The second step is the pretreatment on the images; images of aphids will be segmented by using OSTU threshold method after the effect of random illumination is eliminated by single image difference method.
The last step of the method is aphids’ recognition and counting according to area feature of aphids after extracting contours of aphids by contour detection method.
At last, the result of the experiment proves that the effect of random illumination can be effectively eliminated by using single image difference method.
The counting accuracy in greenhouse is above 95%, while it can reach 92.5% outside.
Thus, it can be seen that the counting software designed in this paper can realize exact enumeration of aphids under complicated illumination which can be used widely.
The design method proposed in this paper can provide basis for precision spray according to its effective detection insects.
American Psychological Association (APA)
Suo, Xuesong& Zi, Liu& Sun, Lei& Jiao, Wang& Yang, Zhao. 2017. Aphid Identification and Counting Based on Smartphone and Machine Vision. Journal of Sensors،Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1186935
Modern Language Association (MLA)
Suo, Xuesong…[et al.]. Aphid Identification and Counting Based on Smartphone and Machine Vision. Journal of Sensors No. 2017 (2017), pp.1-7.
https://search.emarefa.net/detail/BIM-1186935
American Medical Association (AMA)
Suo, Xuesong& Zi, Liu& Sun, Lei& Jiao, Wang& Yang, Zhao. Aphid Identification and Counting Based on Smartphone and Machine Vision. Journal of Sensors. 2017. Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1186935
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1186935