Pest management control of olive fruit fly (Bactrocera oleae) based on a location-aware agro-environmental system

Pontikakos, Costas; Tsiligiridis, Theodore; Yialouris, Constantine P.; Kontodimas, D. C.

doi:10.1016/j.compag.2012.05.001

Cited by 27 publications

(13 citation statements)

References 22 publications

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“…Moreover, the e‐trapping system was comparable to the conventional trapping system, and the information obtained was used to run DSS on the localized application of pesticides, using the precision targeting LAS concept developed by Pontikakos et al. (), Pontikakos, Tsiligiridis, Yialouris, and Kontodimas () and Tsiligiridis et al. ().…”

Section: Discussionmentioning

confidence: 99%

“…The images transmitted/uploaded by e-trap versions developed for the four FF species were easily interpreted by an expert entomologist in their personal computer. Moreover, the e-trapping system was comparable to the conventional trapping system, and the information obtained was used to run DSS on the localized application of pesticides, using the precision targeting LAS concept developed by Pontikakos et al (2010), Pontikakos, Tsiligiridis, Yialouris, and Kontodimas (2012) and Tsiligiridis et al (2014). The small discrepancies found between the field scouts and the desktop image analysis ( The two e-trap versions we developed relay on image analysis of trapped flies as the identification and counting system.…”

Section: Discussionmentioning

confidence: 99%

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Electronic traps for detection and population monitoring of adult fruit flies (Diptera: Tephritidae)

Shaked

Amore²,

Ioannou

et al. 2017

J Applied Entomology

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During the last decades, the economic importance of tephritid fruit flies (FF) has increased worldwide because of recurrent invasions and expansions into new areas, and reduced control capabilities of current control systems. Efficient monitoring systems, thus, are required to provide fast information to act promptly. With this aim in mind, we developed two electronic trap (e‐trap) versions for adult FF: one with specific volatiles for male and female adult Ceratitis capitata, and the second, based on the attraction of adult FF to yellow colour, targeting Dacus ciliatus, Rhagoletis cerasi and Bactrocera oleae. In the case of B. oleae, the female pheromone and ammonium bicarbonate were added as synergists. In the two versions, attracted FF were retained in the trap on glued surfaces. Real‐time images of the surfaces were automatically taken and transmitted to a server. We tested the two e‐trap versions in insect‐proof cages, where flies were released and recaptured, and in commercial orchards throughout the Mediterranean: C. capitata in peach orchards in Italy; R. cerasi in cherry orchards in Greece; B. oleae in olive orchards in Spain and in Greece; and D. ciliatus in melons in plastic tunnels in Israel. The e‐trap showed excellent abilities to transmit real‐time images of trapped FF and a high specificity for trapping different FF species. The ability of the entomologist to correctly classify FF from images in the office was >88%. In addition, average number of flies/trap in e‐trap grids did not differ from numbers reported on grids of conventional traps that were operating simultaneously. The e‐traps developed and tested in this study provide the basis for the real‐time monitoring of FF were no olfactory attractants are available, and for the surveillance of alien FF incursions where generic, but not specific, olfactory attractants exists.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Electronic traps for detection and population monitoring of adult fruit flies (Diptera: Tephritidae)

Shaked

Amore²,

Ioannou

et al. 2017

J Applied Entomology

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“…This limitation may in part be overcome if efforts are directed to the development of intelligent Location-Aware Systems that allow automation of trapping devices and treatment operations (Wen et al 2009;Pontikakos et al 2012).…”

Section: Future Perspectivesmentioning

confidence: 99%

Geostatistical tools for the study of insect spatial distribution: practical implications in the integrated management of orchard and vineyard pests

Sciarretta¹,

Trematerra²

2014

Plant Prot. Sci.

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Sciarretta A., Trematerra P. (2014): Geostatistical tools for the study of insect spatial distribution: practical implications in the integrated management of orchard and vineyard pests. Plant Protect. Sci., 50: 97-110.Spatial heterogeneity in agricultural systems is recognised as an important source of variability to be investigated. In the evolution of Integrated Pest Management (IPM), patterns and processes that influence spatio-temporal dynamics in insect populations tend to assume more importance compared to the classical theory. Geostatistics represent a valuable tool to investigate the spatial pattern of insect populations and to support pest control. After an explanation of the geostatistical analysis, in the present paper we provided an overview of practical applications in managing pests, focusing on fruit orchards and vineyards. The utility of geostatistical tools is illustrated with examples taken from field studies, with attention to the analysis of spatial patterns, monitoring schemes, use of traps, scale issues, precision targeting, and risk assessment maps. Potential approaches in the context of IPM are discussed in relation to future perspectives.

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“…A decision support system (DSS) can be defined as a complex of tools, such as a computer programs, models, and heuristic information (i.e., experience and knowledge of farmers, inspectors, and managers), acting together to assist decision-making [1]. In insect control, DSSs have mainly been developed to manage pests of perennial trees and field crops [2][3][4]. DSS tools are also being widely applied in area-wide pest management (e.g., the use of GIS platforms to guide decisions on sterile Mediterranean fruit fly releases [5]).…”

Section: Introductionmentioning

confidence: 99%

An Integrated Decision Support System for Environmentally-Friendly Management of the Ethiopian Fruit Fly in Greenhouse Crops

et al. 2019

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The Ethiopian fruit fly (EFF), Dacus ciliatus, is a key, invasive pest of melons in the Middle East. We developed and implemented a novel decision support system (DSS) to manage this pest in a greenhouse environment in Southern Israel. Dacus ciliatus is commonly controlled in Israel with repeated calendar-sprayings (every 15 days) of pyrethroid pesticides. The current study compares the performance of a DSS against calendar-spraying management (CSM). DSS was based on EFF population monitoring and infestation. DSS took into consideration concerns and observations of expert managers and farmers. During 2014, EFF damage was concentrated in the spring melon production season. Fall and winter production did not show important damage. Damage during the spring of 2014 started to increase when average EFF/trap/day reached 0.3. This value was suggested as the threshold to implement pesticide spraying in DSS greenhouses. EFF/trap/day trends were derived from monitoring with conventional traps and a novel electronic remote sensing trap, developed by our group. CSM during the spring of 2015 included 3 EFF control sprays, while DSS-managed greenhouses were only sprayed once. At the end of the spring season, damage was slightly higher in DSS greenhouses (1.5%), but not significantly different to that found in CSM greenhouses (0.5%). Results support continuing DSS research and optimization to reduce/remove pesticide use against EFF in melon greenhouses. Interactions with farmers and managers is suggested as essential to increase adoption of DSS in agriculture.

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Pest management control of olive fruit fly (Bactrocera oleae) based on a location-aware agro-environmental system

Cited by 27 publications

References 22 publications

Electronic traps for detection and population monitoring of adult fruit flies (Diptera: Tephritidae)

Electronic traps for detection and population monitoring of adult fruit flies (Diptera: Tephritidae)

Geostatistical tools for the study of insect spatial distribution: practical implications in the integrated management of orchard and vineyard pests

An Integrated Decision Support System for Environmentally-Friendly Management of the Ethiopian Fruit Fly in Greenhouse Crops

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