Development of an automatic monitoring trap for Mediterranean fruit fly ( Ceratitis capitata ) to optimize control applications frequency

Goldshtein, Eitan; Cohen, Yafit; Hetzroni, Amots; Gazit, Yoav; Timar, D.; Rosenfeld, Lavi; Grinshpon, Y.; Hoffman, Aharon; Mizrach, A.

doi:10.1016/j.compag.2017.04.022

Cited by 39 publications

(42 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…We published preliminary results in Shaked et al (2017) [11], where we reported a high level of accuracy (99.5% concordance) in the semi-automated counting of flies. We also obtained similar results for other electronic traps, such as the ones developed for the Medfly in Israel using a Steiner-type trap [10], while the modified McPhail trap developed in Greece for B. oleae reached lower values of accuracy (74.2%) between automatic and manual counting when compared to our prototype [41]. In addition, deep learning methods…”

Section: Discussionsupporting

confidence: 73%

See 1 more Smart Citation

Developing and Implementation of Decision Support System (DSS) for the Control of Olive Fruit Fly, Bactrocera Oleae, in Mediterranean Olive Orchards

et al. 2019

View full text Add to dashboard Cite

Modern agriculture requires technology to give precise measures about relevant parameters such as pest control. Here, we developed a decision support system (DSS) based on semi-automatic pest monitoring for managing the olive fruit fly Bactrocera oleae (Rossi), in Mallorca (Balearic Islands, Spain). The DSS was based on an algorithm that took into account spatial and temporal patterns of olive fruit fly population in an orchard where all trees were georeferenced, thus precise treatments against the pest were conducted through a location aware system (LAS). The olive fruit fly adult population was monitored by using ad hoc off-the-grid autonomous electronic traps.The results were compared with those obtained with conventional methods. For a pilot trial, we selected an olive-producing orchard, where from June to October 2015, three plots using LAS management and three plots under conventional control (NO-LAS plots) were compared. Spray threshold considered both adult population and fruit damage. An additional non-sprayed plot was selected for assessing biological control due to the parasitoid, Psyttalia concolor (Szépligeti). Results showed that the use of DSS reduced by 36.84% the volume of insecticide used in LAS compared to NO-LAS plots. Accordingly, time and distance needed for spraying were also reduced. Adult olive fruit fly population was lower in the LAS plots when compared with the NO-LAS plots; conversely, fruit infestation was higher in LAS compared with NO-LAS. The implementation of LAS and DSS at field level allowed real-time monitoring of adult olive flies, thereby increasing the accuracy and precision of sprays in time and space and decreasing impact on natural enemies.

show abstract

Section: Discussionsupporting

confidence: 73%

“…In the case of fruit flies (Tephritidae), several electronic traps used in PA management systems have been developed. For example, there are several trap prototypes available for Ceratitis iliates (Weidmann) [10,11], Rhagoletis cerasi L., and Dacus iliates Loew [11], as well as Bactrocera dorsalis (Hendel) [12] and B. oleae [13].…”

Section: Introductionmentioning

confidence: 99%

Developing and Implementation of Decision Support System (DSS) for the Control of Olive Fruit Fly, Bactrocera Oleae, in Mediterranean Olive Orchards

et al. 2019

View full text Add to dashboard Cite

show abstract

“…This led to a 67% reduction in pesticide use. The introduction of automatic monitoring traps, like the ones used and tested in this study, may also lead to additional reduction in spraying actions, which was recently shown by Goldstein et al [12]. The slow adoption of DSS into pest control is likely related to the intrinsic behavior of farmers and managers to reduce risk.…”

Section: Discussionmentioning

confidence: 68%

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

et al. 2019

View full text Add to dashboard Cite

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.

show abstract

“…In fact, the exploitation of photointerruption sensors (e.g., infrared sensors generating an electric signal) is a quick approach to count hundreds of individuals automatically, such as in the case of fruit flies, as reported, for instance, with a double-counting method for the oriental fruit fly Bactrocera dorsalis Hendel (Diptera: Tephritidae) (Jiang et al 2008(Jiang et al , 2013Okuyama et al 2011) (Fig. 2i, j) or for C. capitata (Goldshtein et al 2017). However, this electric signal-based approach in some cases could result in a very poor accuracy of the monitoring system, as shown by Holguin et al (2010) for the automated counting of C. pomonella and G. molesta by using electronic bucket traps (Fig.…”

Section: Insect Pest Identification and Countmentioning

confidence: 99%

Insect pest monitoring with camera-equipped traps: strengths and limitations

2020

View full text Add to dashboard Cite

Integrated pest management relies on insect pest monitoring to support the decision of counteracting a given level of infestation and to select the adequate control method. The classic monitoring approach of insect pests is based on placing in single infested areas a series of traps that are checked by human operators on a temporal basis. This strategy requires high labor cost and provides poor spatial and temporal resolution achievable by single operators. The adoption of image sensors to monitor insect pests can result in several practical advantages. The purpose of this review is to summarize the progress made on automatic traps with a particular focus on camera-equipped traps. The use of software and image recognition algorithms can support automatic trap usage to identify and/or count insect species from pictures. Considering the high image resolution achievable and the opportunity to exploit data transfer systems through wireless technology, it is possible to have remote control of insect captures, limiting field visits. The availability of real-time and on-line pest monitoring systems from a distant location opens the opportunity for measuring insect population dynamics constantly and simultaneously in a large number of traps with a limited human labor requirement. The actual limitations are the high cost, the low power autonomy and the low picture quality of some prototypes together with the need for further improvements in fully automated pest detection. Limits and benefits resulting from several case studies are examined with a perspective for the future development of technology-driven insect pest monitoring and management.

show abstract

Development of an automatic monitoring trap for Mediterranean fruit fly ( Ceratitis capitata ) to optimize control applications frequency

Cited by 39 publications

References 25 publications

Developing and Implementation of Decision Support System (DSS) for the Control of Olive Fruit Fly, Bactrocera Oleae, in Mediterranean Olive Orchards

Developing and Implementation of Decision Support System (DSS) for the Control of Olive Fruit Fly, Bactrocera Oleae, in Mediterranean Olive Orchards

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

Insect pest monitoring with camera-equipped traps: strengths and limitations

Contact Info

Product

Resources

About