Rapid and low-cost insect detection for analysing species trapped on yellow sticky traps

Abstract While 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 o...

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Autores principales:	Elias Böckmann, Alexander Pfaff, Michael Schirrmann, Michael Pflanz
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/3c626a861edf4b669fd47f4034589495
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spelling	oai:doaj.org-article:3c626a861edf4b669fd47f40345894952021-12-02T16:49:46ZRapid and low-cost insect detection for analysing species trapped on yellow sticky traps10.1038/s41598-021-89930-w2045-2322https://doaj.org/article/3c626a861edf4b669fd47f40345894952021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-89930-whttps://doaj.org/toc/2045-2322Abstract While 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.Elias BöckmannAlexander PfaffMichael SchirrmannMichael PflanzNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Elias Böckmann Alexander Pfaff Michael Schirrmann Michael Pflanz Rapid and low-cost insect detection for analysing species trapped on yellow sticky traps
description	Abstract While 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.
format	article
author	Elias Böckmann Alexander Pfaff Michael Schirrmann Michael Pflanz
author_facet	Elias Böckmann Alexander Pfaff Michael Schirrmann Michael Pflanz
author_sort	Elias Böckmann
title	Rapid and low-cost insect detection for analysing species trapped on yellow sticky traps
title_short	Rapid and low-cost insect detection for analysing species trapped on yellow sticky traps
title_full	Rapid and low-cost insect detection for analysing species trapped on yellow sticky traps
title_fullStr	Rapid and low-cost insect detection for analysing species trapped on yellow sticky traps
title_full_unstemmed	Rapid and low-cost insect detection for analysing species trapped on yellow sticky traps
title_sort	rapid and low-cost insect detection for analysing species trapped on yellow sticky traps
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/3c626a861edf4b669fd47f4034589495
work_keys_str_mv	AT eliasbockmann rapidandlowcostinsectdetectionforanalysingspeciestrappedonyellowstickytraps AT alexanderpfaff rapidandlowcostinsectdetectionforanalysingspeciestrappedonyellowstickytraps AT michaelschirrmann rapidandlowcostinsectdetectionforanalysingspeciestrappedonyellowstickytraps AT michaelpflanz rapidandlowcostinsectdetectionforanalysingspeciestrappedonyellowstickytraps
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Rapid and low-cost insect detection for analysing species trapped on yellow sticky traps

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