Agricultural Robotics: The Future of Robotic Agriculture

By Tom Duckett, Simon Pearson, S. Blackmore, B. Grieve. UKRAS White Papers, 2018

305 citations recorded by the source corpus.

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.

Subfields: Plant Science

View Paper: https://www.semanticscholar.org/paper/4f2baf4301e719a38ec1dbb86b9766ef25650c4c

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Citations in the corpus

Grape detection, segmentation and tracking using deep neural networks and three-dimensional association (2019, background): “r structures as plants and fruits in a ﬁne-grained level [25]. Proper detection and localization for such structures are key components for monitoring, robotics and autonomous systems for agriculture [9]. arXiv:1907.11819v2 [cs.CV] 12 Aug 2019 Grape detection, segmentation and tracking using deep ne”
Applications of Artificial Intelligence in Agriculture: A Review (2019, background): “7m employees in a truly international industry yielding £20bn of exports in 2016 [75].”
The concept and future prospects of soil health (2020, unknown): “Such rapid and large scale soil health screening through remote sensing should be complemented by exploring the use of guided small scale robotics 82 to assess soil hotspots and sensitive flowpaths (such as soil cracks and earthworm holes) that are typically undetected through remote or bulk…”
Unmanned Aerial Vehicles in Agriculture: A Review of Perspective of Platform, Control, and Applications (2019, methodology): “By combining various tasks with software, we continue to advance deep learning and robotics toward harvesting work [107], [108].”