Zone-Selective Plant Protection based on AI Pest Early Detection

L.T. Berger; G. Polder; Zisis Tsiropoulos; E. Gil; P.M. Blok; Paul Ortega; M. Voskakis

doi:10.5281/zenodo.7247454

Zone-Selective Plant Protection based on AI Pest Early Detection

L.T. Berger, G. Polder, Zisis Tsiropoulos, E. Gil, P.M. Blok, Paul Ortega, M. Voskakis

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Academic

Abstract

Vine downy mildew and Apple scab are endemic diseases that cause severe losses when not detected and treated at an early stage. On the other hand, reducing the use of pesticides in fruit production is a major global societal challenge and is in line with the European Green Deal and EU Directive 2009/128/EC, demanding integrated pest management as well as with 2016/2031/EC, which requires that a proportionate and effective response to plant health threats is established through a combination of technological, ecological and institutional management.

Thus, on the quest for more targeted treatments, the EU Horizon 2020 OPTIMA research project (http://optima-h2020.eu/) addresses this problem through a.) an image analysis based pest Early Detection System (EDS) b.) post processing in a custom Decision Support System (DSS), as well as c.) downloading of generated application maps to cloud connected spraying equipment for precise application in desired application zones.

Although, knowing that the majority of treatments against Vine downy mildew and Apple scab are of preventive and not of curative nature, selecting these frequent pests allowed the OPTIMA partners to prove that the underlying technologies and algorithms are able to support “Zone-Selective Plant Protection based on AI Pest Early Detection”.

Original language	English
Title of host publication	International Advances in Pesticide Application
Publisher	Association of Applied Biologists
Pages	71-78
Volume	147
DOIs	https://doi.org/10.5281/zenodo.7247454
Publication status	Published - 27 Sept 2022
Event	International Advances in Pesticide Application, Association of Applied Biologists - Alexianer Hotel Am Wasserturm, Münster, Germany Duration: 28 Sept 2022 → 29 Sept 2022

Publication series

Name	Aspects of Applied Biology
Volume	147
ISSN (Print)	0265-1491

Conference/symposium

Conference/symposium	International Advances in Pesticide Application, Association of Applied Biologists
Country/Territory	Germany
City	Münster
Period	28/09/22 → 29/09/22

Access to Document

10.5281/zenodo.7247454Licence: CC BY

OPTIMA: Optimised Pest Integrated Management to precisely detect and control plant diseases in perennial crops and open-field vegetables
1/09/18 → 30/06/22
Project: EU research project
EU-TU-18032 Optima (BO-67-101-014, BO-52-001-009)
Polder, G. (Project Leader)
1/01/18 → 31/12/22
Project: LVVN project

Cite this

@inproceedings{433d691c320f4acebb6103b51f7125cb,

title = "Zone-Selective Plant Protection based on AI Pest Early Detection",

abstract = "Vine downy mildew and Apple scab are endemic diseases that cause severe losses when not detected and treated at an early stage. On the other hand, reducing the use of pesticides in fruit production is a major global societal challenge and is in line with the European Green Deal and EU Directive 2009/128/EC, demanding integrated pest management as well as with 2016/2031/EC, which requires that a proportionate and effective response to plant health threats is established through a combination of technological, ecological and institutional management.Thus, on the quest for more targeted treatments, the EU Horizon 2020 OPTIMA research project (http://optima-h2020.eu/) addresses this problem through a.) an image analysis based pest Early Detection System (EDS) b.) post processing in a custom Decision Support System (DSS), as well as c.) downloading of generated application maps to cloud connected spraying equipment for precise application in desired application zones.Although, knowing that the majority of treatments against Vine downy mildew and Apple scab are of preventive and not of curative nature, selecting these frequent pests allowed the OPTIMA partners to prove that the underlying technologies and algorithms are able to support “Zone-Selective Plant Protection based on AI Pest Early Detection”.",

author = "L.T. Berger and G. Polder and Zisis Tsiropoulos and E. Gil and P.M. Blok and Paul Ortega and M. Voskakis",

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language = "English",

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series = "Aspects of Applied Biology",

publisher = "Association of Applied Biologists",

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Berger, LT, Polder, G, Tsiropoulos, Z, Gil, E, Blok, PM, Ortega, P & Voskakis, M 2022, Zone-Selective Plant Protection based on AI Pest Early Detection. in International Advances in Pesticide Application. vol. 147, Aspects of Applied Biology, vol. 147, Association of Applied Biologists, pp. 71-78, International Advances in Pesticide Application, Association of Applied Biologists, Münster, Germany, 28/09/22. https://doi.org/10.5281/zenodo.7247454

TY - GEN

T1 - Zone-Selective Plant Protection based on AI Pest Early Detection

AU - Berger, L.T.

AU - Polder, G.

AU - Tsiropoulos, Zisis

AU - Gil, E.

AU - Blok, P.M.

AU - Ortega, Paul

AU - Voskakis, M.

PY - 2022/9/27

Y1 - 2022/9/27

N2 - Vine downy mildew and Apple scab are endemic diseases that cause severe losses when not detected and treated at an early stage. On the other hand, reducing the use of pesticides in fruit production is a major global societal challenge and is in line with the European Green Deal and EU Directive 2009/128/EC, demanding integrated pest management as well as with 2016/2031/EC, which requires that a proportionate and effective response to plant health threats is established through a combination of technological, ecological and institutional management.Thus, on the quest for more targeted treatments, the EU Horizon 2020 OPTIMA research project (http://optima-h2020.eu/) addresses this problem through a.) an image analysis based pest Early Detection System (EDS) b.) post processing in a custom Decision Support System (DSS), as well as c.) downloading of generated application maps to cloud connected spraying equipment for precise application in desired application zones.Although, knowing that the majority of treatments against Vine downy mildew and Apple scab are of preventive and not of curative nature, selecting these frequent pests allowed the OPTIMA partners to prove that the underlying technologies and algorithms are able to support “Zone-Selective Plant Protection based on AI Pest Early Detection”.

AB - Vine downy mildew and Apple scab are endemic diseases that cause severe losses when not detected and treated at an early stage. On the other hand, reducing the use of pesticides in fruit production is a major global societal challenge and is in line with the European Green Deal and EU Directive 2009/128/EC, demanding integrated pest management as well as with 2016/2031/EC, which requires that a proportionate and effective response to plant health threats is established through a combination of technological, ecological and institutional management.Thus, on the quest for more targeted treatments, the EU Horizon 2020 OPTIMA research project (http://optima-h2020.eu/) addresses this problem through a.) an image analysis based pest Early Detection System (EDS) b.) post processing in a custom Decision Support System (DSS), as well as c.) downloading of generated application maps to cloud connected spraying equipment for precise application in desired application zones.Although, knowing that the majority of treatments against Vine downy mildew and Apple scab are of preventive and not of curative nature, selecting these frequent pests allowed the OPTIMA partners to prove that the underlying technologies and algorithms are able to support “Zone-Selective Plant Protection based on AI Pest Early Detection”.

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DO - 10.5281/zenodo.7247454

M3 - Conference paper

VL - 147

T3 - Aspects of Applied Biology

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EP - 78

BT - International Advances in Pesticide Application

PB - Association of Applied Biologists

T2 - International Advances in Pesticide Application, Association of Applied Biologists

Y2 - 28 September 2022 through 29 September 2022

ER -

Zone-Selective Plant Protection based on AI Pest Early Detection

Abstract

Publication series

Conference/symposium

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Projects

OPTIMA: Optimised Pest Integrated Management to precisely detect and control plant diseases in perennial crops and open-field vegetables

EU-TU-18032 Optima (BO-67-101-014, BO-52-001-009)

Cite this