7th Imaging Work Group Webinar

On the 13th of December at 16.00 (UTC+01:00) the IPPN - 'Imaging for phenotyping'-working group will have its 7th online webinar to easily share new research results with everybody interested world-wide.

The 7th presenter will be Helge Aasen (ETH – Switzerland) / moderator: Rick van de Zedde (WUR)

Title: Low-altitude / high-resolution remote sensing for field-phenotyping: best practice and novel approaches for plant trait extraction

Abstract: In the last 10 years, development in robotics, computer vision, and sensor technology has provided new remote sensing tools to capture unprecedented ultra-high spatial and high spectral resolution with unmanned aerial vehicles (UAVs). This development has led to a revolution in geospatial data collection that can perfectly be used for field-phenotyping applications. In this webinar Helge will briefly review the state-of-the-art technology and outline novel approaches for trait extraction from spectral and 3D data. Besides, Helge will review best practice procedures for (spectral) UAV remote sensing.

 

Short Biography: Helge Aasen is a researcher with the Crop Science Group at ETH Zurich, where he leads the Team PhenoFly (www.phenofly.net, @PhenoFly). His research focus is the development of low-altitude / high-resolution remote sensing methods suitable to understand the interaction of plants with their environment.

To join this webinar on the 7th of December, go on time to: https://join.me/plant-phenotyping

On a computer, you can use any browser and you do not have to download a tool.

Check the start of the webinar in your own time zones here: https://join.me/timezone/1544713200000/1544716800000

On a phone or tablet, launch the join.me app <https://join.me/app> and enter meeting code: plant-phenotyping

 

By phone:

Netherlands - Amsterdam   +31.20.808.3218

Germany - Frankfurt  +49.69.9753.3131

United Kingdom - London   +44.20.3582.4515

 

Access Code   536-399-875#

Other international numbers available<https://join.me/intphone/536399875/0>

More info about the IPPN Imaging for Phenotyping working group can be found here: https://www.plant-phenotyping.org/ippn_wg_imaging