scholarly journals Publisher Correction: Rapid and low-cost insect detection for analysing species trapped on yellow sticky traps

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Elias Böckmann ◽  
Alexander Pfaff ◽  
Michael Schirrmann ◽  
Michael Pflanz

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Elias Böckmann ◽  
Alexander Pfaff ◽  
Michael Schirrmann ◽  
Michael Pflanz

AbstractWhile insect monitoring is a prerequisite for precise decision-making regarding integrated pest management (IPM), it is time- and cost-intensive. Low-cost, time-saving and easy-to-operate tools for automated monitoring will therefore play a key role in increased acceptance and application of IPM in practice. In this study, we tested the differentiation of two whitefly species and their natural enemies trapped on yellow sticky traps (YSTs) via image processing approaches under practical conditions. Using the bag of visual words (BoVW) algorithm, accurate differentiation between both natural enemies and the Trialeurodes vaporariorum and Bemisia tabaci species was possible, whereas the procedure for B. tabaci could not be used to differentiate this species from T. vaporariorum. The decay of species was considered using fresh and aged catches of all the species on the YSTs, and different pooling scenarios were applied to enhance model performance. The best performance was reached when fresh and aged individuals were used together and the whitefly species were pooled into one category for model training. With an independent dataset consisting of photos from the YSTs that were placed in greenhouses and consequently with a naturally occurring species mixture as the background, a differentiation rate of more than 85% was reached for natural enemies and whiteflies.


2011 ◽  
Vol 40 (4) ◽  
pp. 873-879 ◽  
Author(s):  
Hamaseh Aliakbarpour ◽  
Che Salmah Md. Rawi

2020 ◽  
Vol 49 (2) ◽  
pp. 324-333 ◽  
Author(s):  
Hailey N Shanovich ◽  
Brian H Aukema ◽  
Robert L Koch

Abstract Halyomorpha halys is an invasive, polyphagous insect that feeds on many major crops, including apple. Statewide monitoring in Minnesota has shown continued increase of H. halys populations and occurrence of this pest in apple orchards. Potential arthropod natural enemies of H. halys and other pests have not been studied in Minnesota apple orchards. The purpose of this study was to characterize the composition of natural enemy communities; compare their abundances, richness and diversities between apple cultivars using different sampling methods; and assess the impact of natural enemies on sentinel eggs of H. halys in Minnesota apple orchards. Sampling occurred during the summers of 2017 and 2018 on Zestar! and Honeycrisp cultivars in four different apple orchards. In vacuum samples, arachnids, neuropterans, and coccinellids had the highest relative abundances. On yellow sticky traps, anthocorids were the most abundant. The total predator abundance differed between the cultivars sampled across years, with more predators found on Zestar! compared with Honeycrisp. No differences were observed in richness or diversity between cultivars with the exception of yellow sticky traps in 2017, which showed a greater diversity of predators in Zestar!. Despite the abundance of natural enemies sampled, sentinel egg masses deployed in the orchards each summer suffered on average <2% predation and no parasitism across years. Knowledge of differences in predator abundance between cultivars could inform management decisions; however, with current management practices, the potential for biological control of H. halys in conventional apple orchards appears low.


2017 ◽  
Vol 56 (3) ◽  
pp. 309-314
Author(s):  
Cheol Jun Yang ◽  
Jeong Heub Song ◽  
Young Taek Yang ◽  
Hyo Jeong Kim ◽  
Min A Song ◽  
...  

1989 ◽  
Vol 24 (4) ◽  
pp. 422-427 ◽  
Author(s):  
S. J. Scott ◽  
P. J. McLeod ◽  
F. W. Montgomery ◽  
C. A. Hander

Thrips were sampled in a commercial tomato field in southeast Arkansas with yellow sticky traps. The effect of the type of mulch used (black plastic, aluminum-painted plastic or no mulch) on aerial thrips population abundance was investigated. Thrips species identified included Frankliniella fusca (Hinds), F. tritici (Fitch), Sericothrips variabilis (Beech), Leptothrips mali (Fitch) and Haplothrips graminis Hood; F. fusca and F. tritici were most numerous. Aluminum-painted mulch was most effective in reducing the numbers of thrips captured, while black plastic was more effective than no mulch. Numbers of F. fusca peaked at five weeks after transplanting; however, numbers of thirps were low in all plots for the first three weeks after transplanting. Peak numbers of F. fusca trapped in the aluminum-painted plots were one-third the numbers in non-mulched plots, while numbers in the black plastic plots were intermediate. Effectiveness of the mulch in decreasing the numbers of thrips generally disappeared later in the season, as lower leaves shaded the mulch, and traps were raised to accommodate increasing plant height.


1996 ◽  
Vol 31 (3) ◽  
pp. 277-285 ◽  
Author(s):  
R. R. Youngman ◽  
T. P. Kuhar ◽  
D. G. Midgarden

Field studies were conducted in Virginia cornfields in 1990 and 1991 to evaluate the effect of trap size on numbers of Diabrotica virgifera virgifera LeConte adults caught on unbaited Pherocon AM and Olson yellow sticky traps. No significant differences in trapping efficiency (i.e., catch per unit area) were detected on Pherocon AM traps whose sizes had been reduced by either 50% or 75% when compared with standard Pherocon AM no-bait traps. Likewise, no significant difference in trapping efficiency was detected between Olson traps whose sizes had been reduced 50% and full-size Olson traps (212.9 cm2). However, significantly more western corn rootworm adults per unit area were caught on Olson yellow sticky traps compared to Pherocon AM traps whose sizes had been reduced 50%. Comparative costs and precision values for reduced-size Pherocon AM and Olson yellow sticky traps are discussed.


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