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A Drone-Based Application for Scouting Halyomorpha Halys Bugs in Orchards with Multifunctional Nets

  • Francesco Betti Sorbelli
  • , Federico Coro
  • , Sajal K. Das
  • , Emanuele Di Bella
  • , Lara Maistrello
  • , Lorenzo Palazzetti
  • , Cristina M. Pinotti

Research output: Contribution to journalArticlepeer-review

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.

Keywords

  • Bugs
  • Drone
  • Orchard
  • Orienteering

Disciplines

  • Artificial Intelligence and Robotics

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