Towards Automated UAV Image Processing Workflows in Precision Viticulture: Challenges and Benefits

Sergio Vélez*, Mar Ariza-Sentís, João Valente

*Corresponding author for this work

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

Abstract

Remote sensing is a tool based on acquiring images of objects at a distance. The distance to the object is a determining factor, conditioning the strength of the analysis, and it can be reduced with lower flights and longer flight missions. Still, there is a physical limit depending on the type of platform used. In this way, Unmanned Aerial Vehicles (UAVs) allow images to be obtained with a higher spatial resolution, as they can fly only a few metres above the ground. Therefore, they have become a very useful platform as they have democratised field imaging technology, offering greater versatility in obtaining spectral information due to their small size and significantly reduced costs compared to traditional aerial platforms. In this way, several authors have conducted comparative studies on the suitability of different platforms for remote sensing data collection in viticulture; however, there is a lack of information about the image processing workflows. In the framework of the FlexiGroBots project, methodologies for analysing the spatial variability of different factors affecting the crop are being explored, and the automation of processes is a key factor that has proven their applicability. In this article, the suitability of carrying out two different workflows for image processing is analysed: i) a manual workflow, which involves specific steps with human intervention and considers software traditionally used by pilots and remote sensing technicians, and ii) an automated workflow in Python, which allows image processing to be carried out with little or no human intervention.

Original languageEnglish
Title of host publicationRobot 2022
Subtitle of host publicationFifth Iberian Robotics Conference - Advances in Robotics
EditorsDanilo Tardioli, Vicente Matellán, Guillermo Heredia, Manuel F. Silva, Lino Marques
Place of PublicationCham
PublisherSpringer
Pages451-462
ISBN (Print)9783031210617
DOIs
Publication statusPublished - 2023
Event5th Iberian Robotics Conference, ROBOT 2022 - Zaragoza, Spain
Duration: 23 Nov 202225 Nov 2022

Publication series

NameLecture Notes in Networks and Systems
Volume590 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference/symposium

Conference/symposium5th Iberian Robotics Conference, ROBOT 2022
Country/TerritorySpain
CityZaragoza
Period23/11/2225/11/22

Keywords

  • FlexiGroBots
  • Precision agriculture
  • Unmanned aerial vehicles

Fingerprint

Dive into the research topics of 'Towards Automated UAV Image Processing Workflows in Precision Viticulture: Challenges and Benefits'. Together they form a unique fingerprint.

Cite this