Agricultural Robotics: The Future of Robotic Agriculture
Authors:
- Tom DuckettTDTom Duckett
- Simon PearsonSPSimon Pearson
- Simon BlackmoreSBSimon Blackmore
- Bruce GrieveBGBruce Grieve
- Wen-Hua ChenWCWen-Hua Chen
- Grzegorz CielniakGCGrzegorz Cielniak
- Jason CleaversmithJCJason Cleaversmith
- Jian DaiJDJian Dai
- Steve DavisSDSteve Davis
- Charles FoxCFCharles Fox
- Pål FromPFPål From
- Ioannis GeorgilasIGIoannis Georgilas
Preprint
Abstract
Agri-Food is the largest manufacturing sector in the UK. It supports a food chain that generates over {\pounds}108bn p.a., with 3.9m employees in a truly international industry and exports {\pounds}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
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This publication has 39 references indexed in Scilit:
- Legal framework for small autonomous agricultural robotsAI & SOCIETY, 2018
- 3D‐vision based detection, localization, and sizing of broccoli heads in the fieldJournal of Field Robotics, 2017
- Big Data in Smart Farming – A reviewAgricultural Systems, 2017
- Effective Vision‐based Classification for Separating Sugar Beets and Weeds for Precision FarmingJournal of Field Robotics, 2016
- Agricultural robots for field operations: Concepts and componentsBiosystems Engineering, 2016
- Harvesting Robots for High‐value Crops: State‐of‐the‐art Review and Challenges AheadJournal of Field Robotics, 2014
- The application of small unmanned aerial systems for precision agriculture: a reviewPrecision Agriculture, 2012
- Conceptual model of fleet management in agricultureBiosystems Engineering, 2010
- Mechanical within-row weed control for transplanted crops using computer visionBiosystems Engineering, 2008
- The Effect of Laser Treatment as a Weed Control MethodBiosystems Engineering, 2006