International Women’s Day – Celebrating Women in AgriFoRwArdS

International Women’s Day – Celebrating Women in AgriFoRwArdS

This week, in celebration of International Women’s Day, we are going to meet some of the inspirational women involved in the AgriFoRwArdS CDT.   Karoline Heiwolt and Roopika Ravikanna are two of our first cohort of students who are currently studying their PhD’s at the University of Lincoln. We asked Karoline and Roopika to write […]

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Prof Elizabeth Sklar (CDT Supervisor) to present on human-robot teaming

Prof Elizabeth Sklar (CDT Supervisor) to present on human-robot teaming

A week today (Friday 19th February 2021) at  3pm Professor Elizabeth Sklar from Lincoln Agri-Robotics (LAR) at the University of Lincoln will be presenting to the CDT community as part of the AgriFoRwArdS Seminar Series. We operate an opt in policy for the Seminar Series, so if you would like to receive monthly invitations to […]

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Prof Elizabeth Sklar (CDT Supervisor) features in BBC documentary

Prof Elizabeth Sklar (CDT Supervisor) features in BBC documentary

The University of Lincoln’s very own Professor Elizabeth Sklar featured in BBC online documentary series ‘Click’ on Saturday in an an episode called ‘The Virtual Race’ which focused on virtual cycling but also explored concepts closer to home for AgriFoRwArdS, including upcoming technology in agriculture. Click here to watch the episode! When asked about human-robot […]

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Third Issue of AgriFoRwArdS Newsletter Published

Third Issue of AgriFoRwArdS Newsletter Published

The AgriFoRwArdS team have been working hard over the last three months to pull together the next issue of the AgriFoRwArdS Newsletter. Input from the community has been fantastic, which has made for an interesting and dynamic read! To view the third issue of the AgriFoRwArdS newsletter, simply click here. If you have any comments, […]

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Festive fun – Poinsettia photo collection

Festive fun – Poinsettia photo collection

Robotics Researchers at the University of Lincoln are hosting a machine learning and computer vision competition to devise intelligent ways to find the “best” poinsettia. We will be looking at the height of the plant, colour of the leaves, and “bushiness” among other attributes. This work will contribute towards building an image recognition system and […]

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