Automated Airborne Pest Monitoring AAPM of Drosophila suzukii in Crops and Natural Habitats

At a glance

Project leader : Dr. Johannes Fahrentrapp
Project team : Prof. Dr. DR Green, Dr. L Kooistra
Project budget : EUR 282'996
Project status : completed
Funding partner : EU and other international programmes
Project partner : University of Aberdeen / Centre for Environmental Monitoring and Mapping, Wageningen University and Research / Unmanned Aerial Remote Sensing Facility
Contact person : Johannes Fahrentrapp

Description

Drosophila suzukii has become a serious pest in Europe since its spread in 2008 to Spain and Italy, attacking many soft-skinned crops such as several berry species, cherry and grapevines. Pest monitoring is the basis of its control. Therefore, an efficient and accurate monitoring system is essential in order to identify the presence of D. suzukii in the crops and the surrounding area, and to prevent damage to economically valuable fruit crops. Existing methods for monitoring D. suzukii are costly, time and labor intensive and consequently conducted at low spatial resolution and prone to errors. We therefore propose to develop a novel system to overcome current monitoring limitations consisting of traps which are monitored by means of an Unmanned Aerial Vehicle (UAV) and an automatic image processing pipeline for the identification and count of number of D. suzukii per trap location. The automated monitoring has an advantage over current methods in terms of (1) labor intensity, (2) sampling interval, (3) automatic integration into DSS, (4) monitoring of diverse and even hardly accessible habitats, and (5) population monitoring in vast areas in relation to climatic and other geo-processed parameters. A multi-variable sticky trap evaluation will allow selecting the most suitable one to attract the target insect. A small multi-rotor UAV platform will be flown at multiple intervals to capture high resolution color aerial photographs of the insect traps. The photographs will be subjected to image processing algorithms to identify the presence or absence of D. suzukii and their counts. The data collected will be transferred to a decision support system (DSS) to provide valuable information for growers in a format that is both meaningful and accessible, thereby demonstrating the added value and social importance of applied science and technology to the wider community and food security.

Further information

Publications

Fahrentrapp, Johannes; Roosjen, Peter; Kooistra, Lammert; Gregory, Billy; Green, David R,

2020.

Automation of pest monitoring : examples from Drosophila suzukii.

In:

Tephritid Workers of Europe, Africa and the Middle East TEAM : Book of Abstracts.

4th TEAM meeting, La Grande-Motte (France), 5-9 October 2020.

pp. 29.

Available from: https://www.alphavisa.com/team/2020/documents/Abstract-book_TEAM-2020.pdf
Roosjen, Peter PJ; Kellenberger, Benjamin; Kooistra, Lammert; Green, David R; Fahrentrapp, Johannes,

2020.

Deep learning for automated detection of Drosophila suzukii : potential for UAV‐based monitoring.

Pest Management Science.

76(9), pp. 2994-3002.

Available from: https://doi.org/10.1002/ps.5845
Fahrentrapp, Johannes,

2020.

ERA-Net C-IPM.

In:

Workshop on Minor Uses and Speciality Crops: The way forward in Europe, Paris, France, 18-20 February 2020.
Fahrentrapp, Johannes; Roosjen, Peter; Kooistra, Lammert; Green, David R.; Gregory, Billy J.,

2020.

Autonomous UAV-based insect monitoring

.

In:

Green, David R.; Gregory, Billy J.; Karachok, Alex R., eds.,

Unmanned Aerial Remote Sensing : UAS for Environmental Applications.

Boca Raton:

CRC Press.

pp. 137-159.

Available from: https://doi.org/10.1201/9780429172410-9
Fahrentrapp, Johannes,

2019.

Automated airborne pest monitoring : a novel technological approach to monitor Drosophila suzukii.

In:

Annual Biocontrol Industry Meeting (ABIM), Congress Center Basel, 21-23 October 2019.
Fahrentrapp, Johannes,

2019.

Automated airborne pest monitoring : a novel technological approach to monitor Drosophila suzukii.

In:

International Symposium on Precision Management of Orchards and Vineyards, Palermo, Italy, 7-11 October 2019.
Fahrentrapp, Johannes,

2019.

Schädlingsmonitoring mit modernsten Technologien.

Obst- und Weinbau.

56(9), pp. 9-11.

Available from: https://doi.org/10.21256/zhaw-18522
Fahrentrapp, Johannes,

2019.

Schädlingsmonitoring mit modernsten Technologien.

Der Winzer.

75(9), pp. 20-21.

Available from: https://doi.org/10.21256/zhaw-18530
Fahrentrapp, Johannes,

2019.

Drohnen gegen KEF.

Der Deutsche Weinbau.

19(12), pp. 34-35.

Available from: https://doi.org/10.21256/zhaw-18521
Fahrentrapp, Johannes,

2019.

Drohnen helfen, die Kirschessigfliege automatisch zu überwachen.

Besseres Obst.

2019(6), pp. 8-9.

Available from: https://doi.org/10.21256/zhaw-3173
Fahrentrapp, Johannes,

2019.

Monitorowanie szkodników w trybie inteligentnym.

Haslo Ogrodnicze.

2019(3), pp. 24-25.

Available from: https://doi.org/10.21256/zhaw-3172
Fahrentrapp, Johannes,

2019.

Schädling unter Beobachtung.

IUNR Magazin.

pp. 32-33.

Available from: https://doi.org/10.21256/zhaw-19681
Fahrentrapp, Johannes; Kooistra, Lammert; Green, David R.; Roosjen, Peter; Gregory, Billy,

2019.

AAPM : autmoated airborne pest monitoring.

In:

European Union Minor Uses Coordination Facility, 26 March 2019.
Fahrentrapp, Johannes; Roosjen, Peter; Kooistra, Lammer; Gregory, Billy J.; Green, David R.,

2019.

Automated airborne pest monitoring of drosophila suzukii in crops and natural habitats [poster].

In:

19. Thurgauer Technologietag, Wängi, 22. März 2019.

ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

Available from: https://doi.org/10.21256/zhaw-18523
Fahrentrapp, Johannes; Ria, Francesco; Geilhausen, Martin; Panassiti, Bernd,

2019.

Detection of gray mold leaf infections prior to visual symptom appearance using a five-band multispectral sensor.

Frontiers in Plant Science.

10(628).

Available from: https://doi.org/10.3389/fpls.2019.00628
Fahrentrapp, Johannes,

2019.

Die KEF im Griff dank moderner Technologie?.

Obst- und Weinbau.

155(10), pp. 8-9.

Available from: https://doi.org/10.21256/zhaw-17182
Fahrentrapp, Johannes,

2019.

Kirschessigfliege aus der Vogelperspektive.

Das deutsche Weinmagazin.

2019(11), pp. 32-33.

Available from: https://doi.org/10.21256/zhaw-3201
Cahenzli, Fabian; Bühlmann, Irene; Daniel, Claudia; Fahrentrapp, Johannes,

2018.

The distance between forests and crops affects the abundance of Drosophila suzukii during fruit ripening, but not during harvest.

Environmental Entomology.

47(5), pp. 1274-1279.

Available from: https://doi.org/10.1093/ee/nvy116
Fahrentrapp, Johannes; Roosjen, Peter; Kooistra, Lammert; Gregory, Billy J.; Green, David R.,

2018.

AAPM : automated airborne pest monitoring [poster].

In:

The Commercial UAV Show, London, United Kingdom, 14-15 November 2018.

ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

Available from: https://doi.org/10.21256/zhaw-4980
Fahrentrapp, Johannes,

2018.

AAPM : automated airborne pest monitoring [paper].

In:

The Commercial UAV Show, London, United Kingdom, 14-15 November 2018.
Fahrentrapp, Johannes; Roosjen, Peter; Kooistra, Lammert; Green, David R.,

2018.

AAPM : automated airborne pest monitoring [paper].

In:

C-IPM Workshop, Paris, France, 22-23 November 2018.

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