Results 31 to 40 of about 91,132 (271)

Complex networks and simulation strategies: An application to olive fruit fly dispersion [PDF]

open access: yes, 2016
In this work a study for the role of different environmental factors to the evolution of olive fruit fly, via an appropriate network of population traps is given.
Avlonitis, Markos   +2 more
core   +1 more source

On-the-Fly Olive Tree Counting Using a UAS and Cloud Services [PDF]

open access: yesRemote Sensing, 2019
Unmanned aerial systems (UAS) are becoming a common tool for aerial sensing applications. Nevertheless, sensed data need further processing before becoming useful information. This processing requires large computing power and time before delivery. In this paper, we present a parallel architecture that includes an unmanned aerial vehicle (UAV), a small
Esther Salamí   +3 more
openaire   +4 more sources

Concise approach for the synthesis of 1,7-dioxaspiro[5.5]undecane, a Dacus oleae pheromone

open access: yesResults in Chemistry, 2023
A simple and efficient route for the synthesis of 1,7-dioxaspiro[5.5]undecane (Olean), a major component of the male sex attractant of the pheromone blend of the olive fruit fly has been accomplished in six steps starting from 1,4-butanediol. This is the
Rachel Gundamalla   +2 more
doaj   +1 more source

High Quality Extra Virgin Olive Oil from Olives Attacked by the Olive Fruit Fly, Bactrocera Oleae (Rossi) (Diptera Tephritidae): Which Is the Tolerable Limit? Data from Experimental ‘Nocellara Del Belice’ and ‘Cerasuola’ Olive Groves in Sicily

open access: yesChemical Engineering Transactions, 2017
The infestation due to the olive fruit fly, Bactrocera oleae (Rossi), the key pest in most of world olive groves, has been monitored in six years, from 2004 to 2008 and in 2014, in eight coastal Sicilian olive groves consisting of ‘Cerasuola’ and ...
V. Caleca   +7 more
doaj   +1 more source

Specific and sensitive primers for the detection of predated olive fruit flies, Bactrocera oleae (Diptera: Tephritidae) [PDF]

open access: yes, 2017
Bactrocera oleae, the olive fruit fly, is a major pest of olive (Olea europaea L.) trees worldwide. Its presence can cause important losses, with consequences for the economies of countries that produce and export table olives and olive oil.
Callejas Hervás, Carmen   +4 more
core   +5 more sources

Impact of Bactrocera oleae on the fungal microbiota of ripe olive drupes.

open access: yesPLoS ONE, 2018
The olive fruit fly (OFF), Bactrocera oleae is the most devastating pest affecting olive fruit worldwide. Previous investigations have addressed the fungal microbiome associated with olive drupes or B.
Ahmed Abdelfattah   +4 more
doaj   +1 more source

Investigation of Fruit Growth Patterns, Olive Fly Bactrocera oleae (Rossi) Infestation, and Genetic Diversity in Italian Olive Cultivars

open access: yesApplied Sciences, 2023
The olive fruit fly Bactrocera oleae (Rossi, 1790) poses a significant threat to oliviculture worldwide, despite extensive chemical control measures.
Giandomenico Corrado   +4 more
doaj   +1 more source

Functional genomics of a symbiotic community : shared traits in the olive fruit fly gut microbiota [PDF]

open access: yes, 2019
The olive fruit fly Bactrocera oleae is a major pest of olives worldwide and houses a specialized gut microbiota dominated by the obligate symbiont “Candidatus Erwinia dacicola”. Ca. E. dacicola is thought to supplement dietary nitrogen to the host, with
Blow, F   +6 more
core   +2 more sources

Spatiotemporal Patterns of Olive Fruit Fly Movements: Impact of Variety, Temperature, and Altitude in Five Olive Oil Production Areas in Greece

open access: yesProceedings
Olive fruit fly (Bactrocera oleae) is a pest affecting olive production, causing both qualitative and quantitative damage in all regions of the Mediterranean.
Stratis Sentas   +3 more
doaj   +1 more source

Remote fruit fly detection using computer vision and machine learning-based electronic trap

open access: yesFrontiers in Plant Science, 2023
IntroductionIntelligent monitoring systems must be put in place to practice precision agriculture. In this context, computer vision and artificial intelligence techniques can be applied to monitor and prevent pests, such as that of the olive fly.
Miguel Molina-Rotger   +6 more
doaj   +1 more source

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