Abstract
In this work, we consider the problem of using a drone to collect information within orchards in order to scout insect pests, i.e., the stink bug Halyomorpha halys. An orchard can be modeled as an aisle-graph, which is a regular and constrained data structure formed by consecutive aisles where trees are arranged in a straight line. For monitoring the presence of bugs, a drone flies close to the trees and takes videos and/or pictures that will be analyzed offline. As the drone's energy is limited, only a subset of locations in the orchard can be visited with a fully charged battery. Those places that are most likely to be infested should be selected to promptly detect the pest. We implemented the proposed approach on a DJI drone and evaluated its performance in the real-world environment.
Recommended Citation
F. B. Sorbelli et al., "A Drone-Based Application for Scouting Halyomorpha Halys Bugs in Orchards with Multifunctional Nets," 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022, pp. 127 - 129, Institute of Electrical and Electronics Engineers (IEEE), Jan 2022.
The definitive version is available at https://doi.org/10.1109/PerComWorkshops53856.2022.9767309
Department(s)
Computer Science
Keywords and Phrases
Bugs; Drone; Orchard; Orienteering
International Standard Book Number (ISBN)
978-166541647-4
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2022 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Jan 2022
Comments
This work was partially supported by the "GNCS - INdAM", by "HALY-ID" project funded by the European Union’s Horizon 2020 under grant agreement ICT-AGRI-FOOD no. 862665, no. 862671, and by MIPAAF.