Automatized Rapeseed Pest Detection and Management with Drones

Jere Kaivosoja; Ari Ronkainen; Juho Hautsalo; Juha Backman; Raimo Linkolehto; Miguel San Emeterio; Juha Pekka Soininen

doi:10.1007/978-3-031-21062-4_35

Automatized Rapeseed Pest Detection and Management with Drones

Jere Kaivosoja (Corresponding author), Ari Ronkainen, Juho Hautsalo, Juha Backman, Raimo Linkolehto, Miguel San Emeterio, Juha Pekka Soininen

BA4605 Advanced data spaces

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

1 Citation (Scopus)

Abstract

Efficient oil seed pest management can be challenging. Invasive insect pests can destroy the whole yield, but the reduction of applied pesticides is well encouraged. Recent drone technologies provide new tools for the pest management. In this work, we studied possibilities for implementing drones for pest invasion scouting and for precision pesticide spraying for the rapeseed fields. We verified individual components for the pest imaging, pest identification, spraying application construction and for the spraying mission and made an implementation plan for the system automatization. In terms of custom automatization, the implementation of the spraying drone remains challenging.

Original language	English
Title of host publication	ROBOT 2022
Subtitle of host publication	5th Iberian Robotics Conference - Advances in Robotics
Editors	Danilo Tardioli, Vicente Matellán, Guillermo Heredia, Manuel F. Silva, Lino Marques
Publisher	Springer
Pages	427-437
ISBN (Print)	978-3-03-121061-7
DOIs	https://doi.org/10.1007/978-3-031-21062-4_35
Publication status	Published - 2023
MoE publication type	A4 Article in a conference publication
Event	5th Iberian Robotics Conference, ROBOT 2022 - Zaragoza, Spain Duration: 23 Nov 2022 → 25 Nov 2022

Publication series

Series	Lecture Notes in Networks and Systems
Volume	590 LNNS
ISSN	2367-3370

Conference

Conference	5th Iberian Robotics Conference, ROBOT 2022
Country/Territory	Spain
City	Zaragoza
Period	23/11/22 → 25/11/22

Keywords

FMIS
Image
ISOBUS
KML
Regulations
Spraying
UAV

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-031-21062-4_35

Cite this

Kaivosoja, J., Ronkainen, A., Hautsalo, J., Backman, J., Linkolehto, R., Emeterio, M. S., & Soininen, J. P. (2023). Automatized Rapeseed Pest Detection and Management with Drones. In D. Tardioli, V. Matellán, G. Heredia, M. F. Silva, & L. Marques (Eds.), ROBOT 2022: 5th Iberian Robotics Conference - Advances in Robotics (pp. 427-437). Springer. https://doi.org/10.1007/978-3-031-21062-4_35

Kaivosoja, Jere ; Ronkainen, Ari ; Hautsalo, Juho et al. / Automatized Rapeseed Pest Detection and Management with Drones. ROBOT 2022: 5th Iberian Robotics Conference - Advances in Robotics. editor / Danilo Tardioli ; Vicente Matellán ; Guillermo Heredia ; Manuel F. Silva ; Lino Marques. Springer, 2023. pp. 427-437 (Lecture Notes in Networks and Systems, Vol. 590 LNNS).

@inproceedings{15146a12e66442dfa0b253c40dcd7e84,

title = "Automatized Rapeseed Pest Detection and Management with Drones",

abstract = "Efficient oil seed pest management can be challenging. Invasive insect pests can destroy the whole yield, but the reduction of applied pesticides is well encouraged. Recent drone technologies provide new tools for the pest management. In this work, we studied possibilities for implementing drones for pest invasion scouting and for precision pesticide spraying for the rapeseed fields. We verified individual components for the pest imaging, pest identification, spraying application construction and for the spraying mission and made an implementation plan for the system automatization. In terms of custom automatization, the implementation of the spraying drone remains challenging.",

keywords = "FMIS, Image, ISOBUS, KML, Regulations, Spraying, UAV",

author = "Jere Kaivosoja and Ari Ronkainen and Juho Hautsalo and Juha Backman and Raimo Linkolehto and Emeterio, {Miguel San} and Soininen, {Juha Pekka}",

note = "Funding Information: This project has received funding from the European Union{\textquoteright}s Horizon 2020 research and innovation programme under grant agreement No 101017111. https://flexigrobots-h2020.eu/. Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 5th Iberian Robotics Conference, ROBOT 2022 ; Conference date: 23-11-2022 Through 25-11-2022",

year = "2023",

doi = "10.1007/978-3-031-21062-4_35",

language = "English",

isbn = "978-3-03-121061-7",

series = "Lecture Notes in Networks and Systems",

publisher = "Springer",

pages = "427--437",

editor = "Danilo Tardioli and Vicente Matell{\'a}n and Guillermo Heredia and Silva, {Manuel F.} and Lino Marques",

booktitle = "ROBOT 2022",

address = "Germany",

}

Kaivosoja, J, Ronkainen, A, Hautsalo, J, Backman, J, Linkolehto, R, Emeterio, MS & Soininen, JP 2023, Automatized Rapeseed Pest Detection and Management with Drones. in D Tardioli, V Matellán, G Heredia, MF Silva & L Marques (eds), ROBOT 2022: 5th Iberian Robotics Conference - Advances in Robotics. Springer, Lecture Notes in Networks and Systems, vol. 590 LNNS, pp. 427-437, 5th Iberian Robotics Conference, ROBOT 2022, Zaragoza, Spain, 23/11/22. https://doi.org/10.1007/978-3-031-21062-4_35

Automatized Rapeseed Pest Detection and Management with Drones. / Kaivosoja, Jere (Corresponding author); Ronkainen, Ari; Hautsalo, Juho et al.
ROBOT 2022: 5th Iberian Robotics Conference - Advances in Robotics. ed. / Danilo Tardioli; Vicente Matellán; Guillermo Heredia; Manuel F. Silva; Lino Marques. Springer, 2023. p. 427-437 (Lecture Notes in Networks and Systems, Vol. 590 LNNS).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Automatized Rapeseed Pest Detection and Management with Drones

AU - Kaivosoja, Jere

AU - Ronkainen, Ari

AU - Hautsalo, Juho

AU - Backman, Juha

AU - Linkolehto, Raimo

AU - Emeterio, Miguel San

AU - Soininen, Juha Pekka

N1 - Funding Information: This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101017111. https://flexigrobots-h2020.eu/. Publisher Copyright: © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

PY - 2023

Y1 - 2023

N2 - Efficient oil seed pest management can be challenging. Invasive insect pests can destroy the whole yield, but the reduction of applied pesticides is well encouraged. Recent drone technologies provide new tools for the pest management. In this work, we studied possibilities for implementing drones for pest invasion scouting and for precision pesticide spraying for the rapeseed fields. We verified individual components for the pest imaging, pest identification, spraying application construction and for the spraying mission and made an implementation plan for the system automatization. In terms of custom automatization, the implementation of the spraying drone remains challenging.

AB - Efficient oil seed pest management can be challenging. Invasive insect pests can destroy the whole yield, but the reduction of applied pesticides is well encouraged. Recent drone technologies provide new tools for the pest management. In this work, we studied possibilities for implementing drones for pest invasion scouting and for precision pesticide spraying for the rapeseed fields. We verified individual components for the pest imaging, pest identification, spraying application construction and for the spraying mission and made an implementation plan for the system automatization. In terms of custom automatization, the implementation of the spraying drone remains challenging.

KW - FMIS

KW - Image

KW - ISOBUS

KW - KML

KW - Regulations

KW - Spraying

KW - UAV

UR - http://www.scopus.com/inward/record.url?scp=85145270688&partnerID=8YFLogxK

U2 - 10.1007/978-3-031-21062-4_35

DO - 10.1007/978-3-031-21062-4_35

M3 - Conference article in proceedings

AN - SCOPUS:85145270688

SN - 978-3-03-121061-7

T3 - Lecture Notes in Networks and Systems

SP - 427

EP - 437

BT - ROBOT 2022

A2 - Tardioli, Danilo

A2 - Matellán, Vicente

A2 - Heredia, Guillermo

A2 - Silva, Manuel F.

A2 - Marques, Lino

PB - Springer

T2 - 5th Iberian Robotics Conference, ROBOT 2022

Y2 - 23 November 2022 through 25 November 2022

ER -

Kaivosoja J, Ronkainen A, Hautsalo J, Backman J, Linkolehto R, Emeterio MS et al. Automatized Rapeseed Pest Detection and Management with Drones. In Tardioli D, Matellán V, Heredia G, Silva MF, Marques L, editors, ROBOT 2022: 5th Iberian Robotics Conference - Advances in Robotics. Springer. 2023. p. 427-437. (Lecture Notes in Networks and Systems, Vol. 590 LNNS). doi: 10.1007/978-3-031-21062-4_35

Automatized Rapeseed Pest Detection and Management with Drones

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

FlexiGroBots: Flexible robots for intelligent automation of precision agriculture operations

Cite this

Automatized Rapeseed Pest Detection and Management with Drones

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Projects

FlexiGroBots: Flexible robots for intelligent automation of precision agriculture operations

Cite this