Dear all,
The University of Lincoln is hosting a machine learning and computer vision competition to devise intelligent ways to find the “best” poinsettia. They will be looking at the height of the plant, colour of the leaves, and “bushiness” among other attributes.
Further details follow if this is of interest:
The event is taking place between Monday 14th and Friday 18th December.
Taking part in this machine learning and computer vision competition, you will contribute towards building an image recognition system to help robots distinguish between healthy and unhealthy plants. Devising intelligent ways to find the ‘best’ poinsettia, looking at the height of the plant, colour of the leaves, and “bushiness” among other attributes.
You will be given access to our virtual 'poinsettia nursery', where you will find many photographs of poinsettia plants. Bridge Farm Group, the leading UK producer of ornamental plants, flowers and herbs has allowed us to visit their state of the art facility in Spalding, where they are growing over 1million poinsettias to collect the images and data required to run this event.
The opening ceremony will take place at 10:00am on Monday 14th December 2020, this will kick off your challenge.
Models should be submitted by 9:00am on Thursday 17th December 2020.
The closing ceremony will take place at 12:00pm on Friday 18th December 2020, prizes will be given for the best models (categories to be confirmed).
Click here to find out more about the challenge and register to take part!<https://lar.lincoln.ac.uk/poinsettia-challenge/>
We would also encourage you to get your friends and family to submit pictures of their poinsettias (more information can be found at the link above).
Best wishes
April on behalf of the University of Lincoln team.
Steve Brewer
Network Coordinator: Internet of Food Things Network Plus
To join the Internet of Food Things please sign up for the mailing list by sending an email to: [log in to unmask]<mailto:[log in to unmask]>
Subject: Subscribe
Message: SUBSCRIBE FOODCHAIN Firstname Lastname
Web: http://www.foodchain.ac.uk
Twitter: https://twitter.com/ioftnetworkplus
University of Lincoln
Mobile: +44 (0) 7970 962864
Email: [log in to unmask]<mailto:[log in to unmask]>
The University of Lincoln, UK, is the Modern University of the Year in The Times and Sunday Times Good University Guide 2021. We are TEF-Gold rated and recognised for our high student satisfaction, award-winning industry links and world-leading research. Visit www.lincoln.ac.uk.
The information in this e-mail and any attachments may be confidential. If you have received this email in error please notify the sender immediately and remove it from your system. Do not disclose the contents to another person or take copies.
Email is not secure and may contain viruses. The University of Lincoln makes every effort to ensure email is sent without viruses, but cannot guarantee this and recommends recipients take appropriate precautions.
The University may monitor email traffic data and content in accordance with its policies and English law. Further information can be found at: http://www.lincoln.ac.uk/legal.
########################################################################
To unsubscribe from the FOODCHAIN list, click the following link:
https://www.jiscmail.ac.uk/cgi-bin/WA-JISC.exe?SUBED1=FOODCHAIN&A=1
This message was issued to members of www.jiscmail.ac.uk/FOODCHAIN, a mailing list hosted by www.jiscmail.ac.uk, terms & conditions are available at https://www.jiscmail.ac.uk/policyandsecurity/
