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

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

1 Citation (Scopus)


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 languageEnglish
Title of host publicationROBOT 2022
Subtitle of host publication5th Iberian Robotics Conference - Advances in Robotics
EditorsDanilo Tardioli, Vicente Matellán, Guillermo Heredia, Manuel F. Silva, Lino Marques
ISBN (Print)978-3-03-121061-7
Publication statusPublished - 2023
MoE publication typeA4 Article in a conference publication
Event5th Iberian Robotics Conference, ROBOT 2022 - Zaragoza, Spain
Duration: 23 Nov 202225 Nov 2022

Publication series

SeriesLecture Notes in Networks and Systems
Volume590 LNNS


Conference5th Iberian Robotics Conference, ROBOT 2022


  • FMIS
  • Image
  • KML
  • Regulations
  • Spraying
  • UAV


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