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 language | English |
---|---|
Title of host publication | Proceedings |
Subtitle of host publication | 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE) |
Place of Publication | New Jersey |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 1144-1149 |
Number of pages | 6 |
ISBN (Electronic) | 9781728136660 |
ISBN (Print) | 978-1-7281-3666-0 |
DOIs | |
Publication status | Published - Jun 2019 |
Event | 28th IEEE International Symposium on Industrial Electronics, ISIE 2019 - Vancouver, Canada Duration: 12 Jun 2019 → 14 Jun 2019 Conference number: 28th |
Publication series
Name | IEEE International Symposium on Industrial Electronics (ISIE) |
---|---|
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Volume | 2019-June |
ISSN (Print) | 2163-5137 |
ISSN (Electronic) | 2163-5145 |
Conference
Conference | 28th IEEE International Symposium on Industrial Electronics, ISIE 2019 |
---|---|
Abbreviated title | ISIE 2019 |
Country/Territory | Canada |
City | Vancouver |
Period | 12/06/19 → 14/06/19 |
Keywords
- Autonomous Navigation
- Obstacle avoidance
- Path Planning
- Precision Agriculture
- UAV