Multispectral imaging system with UAV integration capabilities for crop analysis

Juan Augusto Paredes, Jessenia Gonzalez, Carlos Saito, Andres Flores

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

29 Scopus citations

Abstract

Multispectral images allow the identification of crop conditions that can be used for proper decision making in agriculture activities. A multispectral imaging system that includes cameras mounted on an Unmanned Aerial Vehicle (UAV) with other electronic modules such as GPS and autopilot system has been developed for covering great extensions of land and the acquisition of geolocated images. However, image resolution limits the altitude at which the UAV can fly and the image acquisition rate. Therefore, an integral design among the embedded system, digital cameras and trigger interface must be developed in order to guarantee an acceptable performance. This paper provides a design proposition for a multispectral system for interfacing with an onboard flight controller to synchronize data acquisition and obtain aerial images.

Original languageEnglish
Title of host publicationIEEE 1st International Symposium on Geoscience and Remote Sensing, GRSS-CHILE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538607404
DOIs
StatePublished - 28 Jul 2017
Event1st IEEE International Symposium on Geoscience and Remote Sensing, GRSS-CHILE 2017 - Valdivia, Chile
Duration: 15 Jun 201716 Jun 2017

Publication series

NameIEEE 1st International Symposium on Geoscience and Remote Sensing, GRSS-CHILE 2017

Conference

Conference1st IEEE International Symposium on Geoscience and Remote Sensing, GRSS-CHILE 2017
Country/TerritoryChile
CityValdivia
Period15/06/1716/06/17

Keywords

  • Aerospace Technology
  • Agriculture Technologies
  • Embedded Systems
  • Image Processing
  • Multispectral Imaging
  • Unmanned Aerial Vehicle

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