[Cyverse.Nappn] [webinar] Ian Stavness Aug 7 10:30 am CST (UTC -6): Low-cost field imaging for plant phenotyping

[Amy Tabb]

** Apologies for duplicate postings **

Ian Stavness from the University of Saskatchewan will present a webinar 
on Wednesday, August 7, 2019 at 10:30 am CST (UTC -6) as part of the 
IEEE RAS Technical Committee of Agricultural Robotics and Automation's 
(AgRA) webinar series.

Since this is being sent to the NAPPN group, here's the time table.  
Match your zone with the city, and for ambiguities check:

https://www.timeanddate.com/worldclock/fixedtime.html?msg=AgRA+Webinar+%2352--+Ian+Stavness&iso=20190807T1030&p1=1227&ah=1

New York/Montreal: 12:30pm

Chicago/Mexico City: 11:30am

Denver/Saskatoon: 10:30am

Seattle/Vancouver: 9:30am

Please register for this webinar here using Zoom: 
https://zoom.us/webinar/register/6115578399507/WN_EyKUyZKHQW6nUIBt1gmUew

This webinar will also be broadcast with YouTube Live, which is an 
option from Zoom (registration not necessary if you are joining via 
YouTube Live).

Commenting and asking questions is still possible via YouTube Live.  The 
link is not available beforehand, so check ~15 minutes before the 
webinar on Twitter, where I will post it publicly: 
https://twitter.com/AgRoboticsTC

All details, including a time zone converter, technical details, and 
presenter biography available here: 
http://ieeeagra.com/events/webinar-aug-07-2019/

Title: Low-cost field imaging for plant phenotyping.

Abstract: Low-cost imaging sensors, such as consumer cameras, have the 
potential to democratize image-based field phenotyping by making image 
acquisition systems cheaper and easier to replicate. However, such 
cameras typically have poor fidelity geo-location information. While it 
may be possible to augment aerial and ground vehicles with accurate 
RTK-GPS add-on systems, this increases the cost and complexity of 
imaging setups. In this talk, I will present work on localizing plots 
and rows within field trials from aerial and ground images without 
geo-location information. I will introduce our “ProTractor” platform, 
co-developed with Agriculture and Agri-Food Canada, which uses 
inexpensive action cameras on an existing tractor/sprayer vehicle, and 
the associated image processing steps that we use to localize and crop 
individual rows of plants from sequences of top-down images from the 
field. I will also discuss machine learning approaches we have been 
developing for estimating plant phenotypes from outdoor images.

Our webinars are free and not limited to individuals on mailing lists - 
feel free to forward.

--
Amy Tabb, Ph.D.
amytabb at ieee.org

This email address is used in my role as:
a co-chair of the IEEE RAS technical committee on Agricultural Robotics and Automation
http://ieeeagra.com/
Twitter: @AgRoboticsTC
Joining AgRA: http://ieeeagra.com/join/

she/her
preferred address: Amy
if you really want to use a title and family name: Dr. Tabb