Yellow or transparent? Comparison of sticky traps for monitoring functional arthropod diversity in an olive agroecosystem

Dimitrova, A.; Milošević, Marijana Ilić; Spanos, Theodore; Livieratos, Ioannis C.; Gkisakis, Vasileios

doi:10.32800/abc.2020.43.0159

Cited by 4 publications

(1 citation statement)

References 27 publications

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“…Although colored sticky traps have been traditionally used for monitoring insect populations, the high numbers of thrips and other non-target species recorded in the present study, suggest that they can also be useful for biodiversity studies in mango agroecosystems. This approach has already been used in olive agroecosystems, to study arthropod aggregation, richness, diversity, and distribution [ 62 ].…”

Section: Discussionmentioning

confidence: 99%

Colored sticky traps for monitoring phytophagous thrips (Thysanoptera) in mango agroecosystems, and their impact on beneficial insects

et al. 2022

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The capture efficiency of six colored sticky traps (blue, green, orange, purple, white, and yellow) was tested in mango agroecosystems of Mexico with the purpose to: (i) document the diversity of Thysanoptera; (ii) determine the attraction of phytophagous thrips; (iii) assess the impact of these traps on beneficial insects; and (iv) assess the relationship between the density of Frankliniella thrips captured on traps and those found in the inflorescences. The use of colored sticky traps has revealed a great diversity of thrips and beneficial insects in the mango agroecosystem. A total of 16,441 thrips were caught on sticky traps throughout the sampling period, of which 16,251 (98.8%) were thrips adults and 190 (1.2%) larvae. Forty one species of thrips were collected either from sticky traps or from inflorescences. Of these, 32 species feed either on leaves or flowers. Frankliniella cephalica, F. gardeniae and F. invasor, were the most abundant species. Scirtothrips citri and S. manihoti were also captured among other phytophagous thrips. The white trap captured significantly more Frankliniella species and also had the smallest capture of beneficial insects. Yellow traps were the most attractive for Scirtothrips species, with low detrimental effects on insect pollinators, although high impact on natural enemies. Thrips species captured on sticky traps showed a low and non-significantly correlation with respect to the density of thrips in mango inflorescences. Although sticky traps did not predict the density of Frankliniella populations in mango inflorescences, the study represents a substantial progress in the use of color traps in mango agroecosystems. Colored sticky traps would be a good option for monitoring mango thrips to detect them at earlier stages of infestation to implement management tactics and avoid the building-up of thrips populations.

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Section: Discussionmentioning

confidence: 99%

Colored sticky traps for monitoring phytophagous thrips (Thysanoptera) in mango agroecosystems, and their impact on beneficial insects

et al. 2022

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Trap colour strongly affects the ability of deep learning models to recognize insect species in images of sticky traps

Ong,

Høye

2024

Pest Management Science

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BACKGROUNDThe use of computer vision and deep learning models to automatically classify insect species on sticky traps has proven to be a cost‐ and time‐efficient approach to pest monitoring. As different species are attracted to different colours, the variety of sticky trap colours poses a challenge to the performance of the models. However, the effectiveness of deep learning in classifying pests on different coloured sticky traps has not yet been sufficiently explored. In this study, we aim to investigate the influence of sticky trap colour and imaging devices on the performance of deep learning models in classifying pests on sticky traps.RESULTSOur results show that using the MobileNetV2 architecture with transparent sticky traps as training data, the model predicted the pest species on transparent sticky traps with an accuracy of at least 0.95 and on other sticky trap colours with at least 0.85 of the F1 score. Using a generalised linear model (GLM) and a Boruta feature selection algorithm, we also showed that the colour and architecture of the sticky traps significantly influenced the performance of the model.CONCLUSIONOur results support the development of an automatic classification of pests on a sticky trap, which should focus on colour and deep learning architecture to achieve good results. Future studies could aim to incorporate the trap system into pest monitoring, providing more accurate and cost‐effective results in a pest management programme. © 2024 The Author(s). Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

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Can trap color affect arthropod community attraction in agroecosystems? A test using yellow vane and colorless traps

Fajemisin

Kaur

Vásquez

et al. 2023

Environ Monit Assess

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Yellow or transparent? Comparison of sticky traps for monitoring functional arthropod diversity in an olive agroecosystem

Cited by 4 publications

References 27 publications

Colored sticky traps for monitoring phytophagous thrips (Thysanoptera) in mango agroecosystems, and their impact on beneficial insects

Colored sticky traps for monitoring phytophagous thrips (Thysanoptera) in mango agroecosystems, and their impact on beneficial insects

Trap colour strongly affects the ability of deep learning models to recognize insect species in images of sticky traps

Can trap color affect arthropod community attraction in agroecosystems? A test using yellow vane and colorless traps

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