کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5471923 | 1519508 | 2017 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A smart-vision algorithm for counting whiteflies and thrips on sticky traps using two-dimensional Fourier transform spectrum
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
کنترل و سیستم های مهندسی
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چکیده انگلیسی
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 (R2Â =Â 1), independent of pest distribution pattern. High correlations were obtained from count results of whiteflies on 34 YSTs (R2Â =Â 0.9994) and thrips on 33 BSTs (R2Â =Â 0.9989). Measurement errors were addressed.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biosystems Engineering - Volume 153, January 2017, Pages 82-88
Journal: Biosystems Engineering - Volume 153, January 2017, Pages 82-88
نویسندگان
Yurui Sun, Hong Cheng, Qiang Cheng, Haiyang Zhou, Menghua Li, Youheng Fan, Guilin Shan, Lutz Damerow, Peter Schulze Lammers, Scott B. Jones,