Autonomous 3-D Aerial Navigation System for Precision Agriculture

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

4 Citations (Scopus)

Abstract

The ever increase of human population brings the problem of how to accommodate the required food production and maintain system sustainability. The goal of precision agriculture is to offer farmers better management systems that improve production and the use of resources like water and fertiliser, resulting in better crop yields. This paper presents a 3-D navigation system for an unmanned aerial vehicle to be used in precision agriculture as a more reliable, flexible and affordable solution to gather useful data about the crops, compared to current methods such as satellite imagery. The solution was developed in the ROS platform and coupled with external software components, with the goal of making an autonomous multi-rotor aerial vehicle capable of operating in these kind of environments, completely exploring and surveying an agricultural field. Finally a simulator in Unity was constructed to support the development and testing of this navigation system.

Original languageEnglish
Title of host publicationProceedings
Subtitle of host publication2019 IEEE 28th International Symposium on Industrial Electronics (ISIE)
Place of PublicationNew Jersey
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1144-1149
Number of pages6
ISBN (Electronic)9781728136660
ISBN (Print)978-1-7281-3666-0
DOIs
Publication statusPublished - Jun 2019
Event28th IEEE International Symposium on Industrial Electronics, ISIE 2019 - Vancouver, Canada
Duration: 12 Jun 201914 Jun 2019
Conference number: 28th

Publication series

NameIEEE International Symposium on Industrial Electronics (ISIE)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Volume2019-June
ISSN (Print)2163-5137
ISSN (Electronic)2163-5145

Conference

Conference28th IEEE International Symposium on Industrial Electronics, ISIE 2019
Abbreviated titleISIE 2019
Country/TerritoryCanada
CityVancouver
Period12/06/1914/06/19

Keywords

  • Autonomous Navigation
  • Obstacle avoidance
  • Path Planning
  • Precision Agriculture
  • UAV

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