16 citations · 39 across the 10 of their papers we have counts for
10 papers
Exploiting Boundary Loss for the Hierarchical Panoptic Segmentation of Plants and Leaves
Madeleine Darbyshire, Elizabeth Sklar, Simon Parsons
Precision agriculture leverages data and machine learning so that farmers can monitor their crops and target interventions precisely. This enables the precision application of herb…
Multispectral Fine-Grained Classification of Blackgrass in Wheat and Barley Crops
Madeleine Darbyshire, Shaun Coutts, Eleanor Hammond +6
As the burden of herbicide resistance grows and the environmental costs of excessive herbicide use become clear, new approaches to managing weed populations are needed. This is par…
Computational Argumentation-based Chatbots: a Survey
Federico Castagna, Nadin Kokciyan, Isabel Sassoon +2
Chatbots are conversational software applications designed to interact dialectically with users for a plethora of different purposes. Surprisingly, these colloquial agents have onl…
Hierarchical Mask2Former: Panoptic Segmentation of Crops, Weeds and Leaves
Madeleine Darbyshire, Elizabeth Sklar, Simon Parsons
Advancements in machine vision that enable detailed inferences to be made from images have the potential to transform many sectors including agriculture. Precision agriculture, whe…
A Variable Autonomy approach for an Automated Weeding Platform
Ionut Moraru, Tsvetan Zhivkov, Shaun Coutts +2
Climate change, increase in world population and the war in Ukraine have led nations such as the UK to put a larger focus on food security, while simultaneously trying to halt decl…
5G on the Farm: Evaluating Wireless Network Capabilities for Agricultural Robotics
Tsvetan Zhivkov, Elizabeth I. Sklar
Global food security is an issue that is fast becoming a critical matter in the world today. Global warming, climate change and a range of other impacts caused by humans, such as c…