Integration of a UAV-LIDAR System for Remote Sensing of CO concentrations in Smart Agriculture

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

4 Scopus citations

Abstract

Precision agriculture is reliant on making timely, effective measurements to optimize workflow and crop yield. Manual inspection techniques are time consuming and do not support a frequent and autonomous monitoring of the field. This paper examines an innovative application of using a bistatic LIDAR sensor integrated into a UAV to monitor in-field CO concentrations. Measuring variations in atmospheric CO concentrations in agriculture can be used to detect plant health through correlation of photosynthesis efficiency and used to determine soil quality. LIDAR systems can maintain highly accurate measurements, particularly of small changes in CO concentrations, from substantial distances, making it ideal for remote UAV monitoring. Integration of such system into the UAV requires resolving mechanical, electrical, communication computing and control aspects, which are addressed in this paper through a feasibility study of the ground station tracking the system to steer the gimbal, on which the sensor is mounted. There is substantial interest in determining the appropriate UAV platform and consequently the hardware and software architecture and integration into the UAS.

Original languageBritish English
Title of host publication40th Digital Avionics Systems Conference, DASC 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665434201
DOIs
StatePublished - 2021
Event40th IEEE/AIAA Digital Avionics Systems Conference, DASC 2021 - San Antonio, United States
Duration: 3 Oct 20217 Oct 2021

Publication series

NameAIAA/IEEE Digital Avionics Systems Conference - Proceedings
Volume2021-October
ISSN (Print)2155-7195
ISSN (Electronic)2155-7209

Conference

Conference40th IEEE/AIAA Digital Avionics Systems Conference, DASC 2021
Country/TerritoryUnited States
CitySan Antonio
Period3/10/217/10/21

Keywords

  • agricultural drone
  • DIAL
  • fruit ripening
  • LIDAR
  • photosynthesis
  • smart agriculture

Fingerprint

Dive into the research topics of 'Integration of a UAV-LIDAR System for Remote Sensing of CO concentrations in Smart Agriculture'. Together they form a unique fingerprint.

Cite this