A smart-vision algorithm for counting whiteflies and thrips on sticky traps using two-dimensional Fourier transform spectrum. (January 2017)
- Record Type:
- Journal Article
- Title:
- A smart-vision algorithm for counting whiteflies and thrips on sticky traps using two-dimensional Fourier transform spectrum. (January 2017)
- Main Title:
- A smart-vision algorithm for counting whiteflies and thrips on sticky traps using two-dimensional Fourier transform spectrum
- Authors:
- Sun, Yurui
Cheng, Hong
Cheng, Qiang
Zhou, Haiyang
Li, Menghua
Fan, Youheng
Shan, Guilin
Damerow, Lutz
Schulze Lammers, Peter
Jones, Scott B. - Abstract:
- Abstract : Although sticky traps are reliable indicators of pest population dynamics but pest counting by humans is time-consuming and menial labour. A novel smart vision algorithm based on two-dimensional Fourier transform (2DFT) spectrum is presented. Rather than directly counting the pests captured on the traps, the novel concept is to treat trapped pests as noise in a two-dimensional (2D) image with 2DFT serving as a specific noise collector. The research objectives included comparing human and 2DFT counting in two proof-of-principle tests: (i) simulated pests with various quantities and distributions arrayed on two series of templates using both ordered and random patterns; (ii) sweet potato whiteflies [ Bemisia tabaci (Gennadius), Hemiptera: Aleyrodidae] on yellow sticky traps (YSTs) and western flower thrips [ Frankliniella occidentalis (Pergande), Thysanoptera: Thripidae] on blue sticky traps (BSTs). Tests of simulated pests (2–512) on eight templates verified that the 2DFT-based index provides accurate estimates of pests captured on the traps (R 2 = 1), independent of pest distribution pattern. High correlations were obtained from count results of whiteflies on 34 YSTs (R 2 = 0.9994) and thrips on 33 BSTs (R 2 = 0.9989). Measurement errors were addressed. Highlights: Two-dimensional Fourier Transform spectrum used for pest counting. Proof-of-principle test using simulated pest to verify the proposed method. Experimental results from whiteflies and thrips capturedAbstract : Although sticky traps are reliable indicators of pest population dynamics but pest counting by humans is time-consuming and menial labour. A novel smart vision algorithm based on two-dimensional Fourier transform (2DFT) spectrum is presented. Rather than directly counting the pests captured on the traps, the novel concept is to treat trapped pests as noise in a two-dimensional (2D) image with 2DFT serving as a specific noise collector. The research objectives included comparing human and 2DFT counting in two proof-of-principle tests: (i) simulated pests with various quantities and distributions arrayed on two series of templates using both ordered and random patterns; (ii) sweet potato whiteflies [ Bemisia tabaci (Gennadius), Hemiptera: Aleyrodidae] on yellow sticky traps (YSTs) and western flower thrips [ Frankliniella occidentalis (Pergande), Thysanoptera: Thripidae] on blue sticky traps (BSTs). Tests of simulated pests (2–512) on eight templates verified that the 2DFT-based index provides accurate estimates of pests captured on the traps (R 2 = 1), independent of pest distribution pattern. High correlations were obtained from count results of whiteflies on 34 YSTs (R 2 = 0.9994) and thrips on 33 BSTs (R 2 = 0.9989). Measurement errors were addressed. Highlights: Two-dimensional Fourier Transform spectrum used for pest counting. Proof-of-principle test using simulated pest to verify the proposed method. Experimental results from whiteflies and thrips captured on sticky traps. … (more)
- Is Part Of:
- Biosystems engineering. Volume 153(2017)
- Journal:
- Biosystems engineering
- Issue:
- Volume 153(2017)
- Issue Display:
- Volume 153, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 153
- Issue:
- 2017
- Issue Sort Value:
- 2017-0153-2017-0000
- Page Start:
- 82
- Page End:
- 88
- Publication Date:
- 2017-01
- Subjects:
- Pest counting -- Sticky trap -- Whitefly -- Thrips -- Two-dimensional Fourier transform
Bioengineering -- Periodicals
Agricultural engineering -- Periodicals
Biological systems -- Periodicals
Génie rural -- Périodiques
Systèmes biologiques -- Périodiques
631 - Journal URLs:
- http://www.sciencedirect.com/science/journal/15375110 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.biosystemseng.2016.11.001 ↗
- Languages:
- English
- ISSNs:
- 1537-5110
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 2089.670500
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 5382.xml