Towards Continuous Surveillance of Fruit Flies Using Sensor Networks and Machine Vision

Liu, Yuee; Zhang, Jinglan; Richards, Mark; Pham, Binh; Roe, Paul; Clarke, Anthony R.

doi:10.1109/wicom.2009.5303034

Cited by 26 publications

(16 citation statements)

References 5 publications

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“…in the vicinity of lucerne crops (Toshova et al, 2009). Similarly, smart traps for lepidopteran and dipteran pests have been shown to be effective (Liu et al, 2009). For example pheromonal lures have been useful in dealing with an outbreak of an Australian pasture tunnel moth ( Philobota sp.)…”

Section: Prospects For Improved Pasture Biosecuritymentioning

confidence: 99%

Invertebrate Biosecurity Challenges in High-Productivity Grassland: The New Zealand Example

2016

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To protect productive grasslands from pests and diseases, effective pre- and at-border planning and interventions are necessary. Biosecurity failure inevitably requires expensive and difficult eradication, or long-term and often quite ineffective management strategies. This is compared to the early intervention more likely for sectors where there is public and political interest in plants of immediate economic and/or social value, and where associated pests are typically located above-ground on host plantings of relatively limited distribution. Here, biosecurity surveillance and responses can be readily designed. In contrast, pastures comprising plants of low inherent unit value create little, if any, esthetic interest. Yet, given the vast extent of pasture in New Zealand and the value of the associated industries, these plants are of immense economic importance. Compounding this is the invasibility of New Zealand’s pastoral ecosystems through a lack of biotic resistance to incursion and invasion. Further, given the sheer area of pasture, intervention options are limited because of costs per unit area and the potential for pollution if pesticides are used. Biosecurity risk for pastoral products differs from, say, that of fruit where at least part of an invasive pathway can be recognized and risks assessed. The ability to do this via pastoral sector pathways is much reduced, since risk organisms more frequently arrive via hitchhiker pathways which are diffuse and varied. Added to this pasture pests within grassland ecosystems are typically cryptic, often with subterranean larval stages. Such characteristics make detection and response particularly difficult. The consequences of this threaten to add to the already-increasing stressors of production intensification and climate change. This review explores the unique challenges faced by pasture biosecurity and what may be done to confront existing difficulties. While there is no silver bullet, and limited opportunity pre- and at-border for improving pasture biosecurity, advancement may include increased and informed vigilance by farmers, pheromone traps and resistant plants to slow invasion. Increasingly, there is also the potential for more use of improved population dispersal models and surveillance strategies including unmanned aerial vehicles, as well as emerging techniques to determine invasive pest genomes and their geographical origins.

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Section: Prospects For Improved Pasture Biosecuritymentioning

confidence: 99%

Invertebrate Biosecurity Challenges in High-Productivity Grassland: The New Zealand Example

2016

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“…Recently, new perspectives have arisen in Australia (Liu et al ., ) which could lead to a substantial improvement in trapping systems through the use of fruit fly traps incorporating a sensor that can capture high‐quality images and techniques for automatically detecting the presence of fruit flies.…”

Section: Fruit Flies (Diptera: Tephritidae)mentioning

confidence: 99%

A review of pest surveillance techniques for detecting quarantine pests in Europe

Augustin¹,

Boonham

Kogel³

et al. 2012

EPPO Bulletin

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This paper provides reviews of the most commonly used methods to detect plant pests belonging to groups of invasive organisms with high economic relevance, including Coleoptera (bark beetles, flathead borers, leaf beetles, longhorn beetles, weevils), Diptera (cone and seed flies, fruit flies), Homoptera (aphids, leafhoppers and psyllids, whiteflies), Lepidoptera (moths and butterflies), Thysanoptera (thrips), bacteria (potato brown rot Ralstonia solanacearum) and fungi (pitch canker disease Gibberella circinata, brown rot disease Monilinia fructicola). Future perspectives in detection methods are discussed, with particular reference to the considerable increase in the volume, commodity type and origins of trade in plant material from third countries, the introduction of new crops, the continuous expansion of the EU with new border countries being added, and the impact of climate change affecting the geographical boundaries of pests and their vectors. (Résumé d'auteur

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“…In [10] a monitoring system designed to monitor the fruit fly pest is proposed. The sensor is just a smartphone that includes on-board camera and native cellular communication capabilities.…”

Section: Introductionmentioning

confidence: 99%

Monitoring Pest Insect Traps by Means of Low-Power Image Sensor Technologies

López

Rach

Migallón

et al. 2012

Sensors

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Monitoring pest insect populations is currently a key issue in agriculture and forestry protection. At the farm level, human operators typically must perform periodical surveys of the traps disseminated through the field. This is a labor-, time- and cost-consuming activity, in particular for large plantations or large forestry areas, so it would be of great advantage to have an affordable system capable of doing this task automatically in an accurate and a more efficient way. This paper proposes an autonomous monitoring system based on a low-cost image sensor that it is able to capture and send images of the trap contents to a remote control station with the periodicity demanded by the trapping application. Our autonomous monitoring system will be able to cover large areas with very low energy consumption. This issue would be the main key point in our study; since the operational live of the overall monitoring system should be extended to months of continuous operation without any kind of maintenance (i.e., battery replacement). The images delivered by image sensors would be time-stamped and processed in the control station to get the number of individuals found at each trap. All the information would be conveniently stored at the control station, and accessible via Internet by means of available network services at control station (WiFi, WiMax, 3G/4G, etc.).

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Towards Continuous Surveillance of Fruit Flies Using Sensor Networks and Machine Vision

Cited by 26 publications

References 5 publications

Invertebrate Biosecurity Challenges in High-Productivity Grassland: The New Zealand Example

Invertebrate Biosecurity Challenges in High-Productivity Grassland: The New Zealand Example

A review of pest surveillance techniques for detecting quarantine pests in Europe

Monitoring Pest Insect Traps by Means of Low-Power Image Sensor Technologies

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