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.
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Acknowledgements
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/.
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Kaivosoja, J. et al. (2023). Automatized Rapeseed Pest Detection and Management with Drones. In: Tardioli, D., Matellán, V., Heredia, G., Silva, M.F., Marques, L. (eds) ROBOT2022: Fifth Iberian Robotics Conference. ROBOT 2022. Lecture Notes in Networks and Systems, vol 590. Springer, Cham. https://doi.org/10.1007/978-3-031-21062-4_35
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