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.

A Drone-based Application for Scouting Halyomorpha halys Bugs in Orchards with Multifunctional Nets / Sorbelli, F. B.; Coro, F.; Das, S. K.; Di Bella, E.; Maistrello, L.; Palazzetti, L.; Pinotti, C. M.. - (2022), pp. 127-129. (Intervento presentato al convegno 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022 tenutosi a ita nel 2022) [10.1109/PerComWorkshops53856.2022.9767309].

A Drone-based Application for Scouting Halyomorpha halys Bugs in Orchards with Multifunctional Nets

Maistrello L.;
2022

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.
2022
2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022
ita
2022
127
129
Sorbelli, F. B.; Coro, F.; Das, S. K.; Di Bella, E.; Maistrello, L.; Palazzetti, L.; Pinotti, C. M.
A Drone-based Application for Scouting Halyomorpha halys Bugs in Orchards with Multifunctional Nets / Sorbelli, F. B.; Coro, F.; Das, S. K.; Di Bella, E.; Maistrello, L.; Palazzetti, L.; Pinotti, C. M.. - (2022), pp. 127-129. (Intervento presentato al convegno 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022 tenutosi a ita nel 2022) [10.1109/PerComWorkshops53856.2022.9767309].
File in questo prodotto:
File Dimensione Formato  
Betti-Sorbelli 2022-A_Drone-based_Application_for_Scouting_Halyomorpha_halys_Bugs_in_Orchards_with_Multifunctional_Nets.pdf

Open access

Tipologia: Versione pubblicata dall'editore
Dimensione 1.38 MB
Formato Adobe PDF
1.38 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1279822
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 12
  • ???jsp.display-item.citation.isi??? 11
social impact