TY - GEN
T1 - Towards Automated UAV Image Processing Workflows in Precision Viticulture
T2 - 5th Iberian Robotics Conference, ROBOT 2022
AU - Vélez, Sergio
AU - Ariza-Sentís, Mar
AU - Valente, João
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - FlexiGroBots
KW - Precision agriculture
KW - Unmanned aerial vehicles
U2 - 10.1007/978-3-031-21062-4_37
DO - 10.1007/978-3-031-21062-4_37
M3 - Conference paper
AN - SCOPUS:85145301577
SN - 9783031210617
T3 - Lecture Notes in Networks and Systems
SP - 451
EP - 462
BT - Robot 2022
A2 - Tardioli, Danilo
A2 - Matellán, Vicente
A2 - Heredia, Guillermo
A2 - Silva, Manuel F.
A2 - Marques, Lino
PB - Springer
CY - Cham
Y2 - 23 November 2022 through 25 November 2022
ER -