Agricultural Robotics: The Future of Robotic Agriculture

Duckett, Tom and Pearson, Simon and Blackmore, Simon and Grieve, Bruce and Chen, Wen-Hua and Cielniak, Grzegorz and Cleaversmith, Jason and Dai, Jian and Davis, Steve and Fox, Charles and From, Pal and Georgilas, Ioannis and Gill, Richie and Gould, Iain and Hanheide, Marc and Iida, Fumiya and Mihalyova, Lyudmila and Nefti-Meziani, Samia and Neumann, Gerhard and Paoletti, Paolo and Pridmore, Tony and Ross, Dave and Smith, Melvyn and Stoelen, Martin and Swainson, Mark and Wane, Sam and Wilson, Peter and Wright, Isobel and Yang, Guang-Zhong (2018) Agricultural Robotics: The Future of Robotic Agriculture. Other. UK-RAS Network White Papers.

Full content URL: http://hamlyn.doc.ic.ac.uk/uk-ras/sites/default/fi...

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Abstract

Agri-Food is the largest manufacturing sector in the UK. It supports a food chain that generates over £108bn p.a., with 3.9m employees in a truly international industry and exports £20bn of UK manufactured goods. However, the global food chain is under pressure from population growth, climate change, political pressures affecting migration, population drift from rural to urban regions and the demographics of an aging global population. These challenges are recognised in the UK Industrial Strategy white paper and backed by significant investment via a Wave 2 Industrial Challenge Fund Investment ("Transforming Food Production: from Farm to Fork"). Robotics and Autonomous Systems (RAS) and associated digital technologies are now seen as enablers of this critical food chain transformation. To meet these challenges, this white paper reviews the state of the art in the application of RAS in Agri-Food production and explores research and innovation needs to ensure these technologies reach their full potential and deliver the necessary impacts in the Agri-Food sector.

Keywords:Agricultural Robotics, Agri-Food Robotics, Robotics and Autonomous Systems, White Paper
Subjects:D Veterinary Sciences, Agriculture and related subjects > D400 Agriculture
Divisions:College of Science > School of Computer Science
ID Code:32517
Deposited On:30 Jul 2018 13:12

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