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SUMMARY:Agricultural Robotics - Charles Fox (University of Lincoln)
DTSTART:20191007T100000Z
DTEND:20191007T110000Z
UID:TALK131338@talks.cam.ac.uk
CONTACT:33450
DESCRIPTION:Abstract: Agricultural robotics present a possible solution to
  a number of\ninter-related social challenges including reducing fuel cons
 umption\nand chemical application\, reducing carbon emissions\, and reduci
 ng\ndependency on manual labour. They may do this by combining automation\
 nwith precision\, ultimately at the level of per-plant monitoring\,\nnurtu
 ring\, and harvesting.\n\nThis talk will give a high-level overview of Agr
 icultural Robotics and\nsome examples from our previous and current projec
 ts such as the IBEX\nautonomous grassland weedsprayer (Video example:\nhtt
 ps://www.youtube.com/watch?v=eY3TVErkWlg) and our new robot\,\nTheresa\, u
 nder development for blackgrass control in fields of wheat.\n\nLincoln's f
 ocus is on practical robotics\, but this focus raises more\ntheoretical qu
 estions which may be of interest in future\ncollaborations. These include 
 topics around 3D path planning\, RF\n(radio) communications and localisati
 on and machine vision.\nAgricultural robots may also generate large geospa
 tial datasets which\nmay be explored by machine learning\; and have connec
 tions to Internet\nof Things devices\, Transport Studies and Operations Re
 search when\nconsidered as part of wider digital food supply chains.\n\nTh
 e Universities of Lincoln\, Cambridge\, and East Anglia are beginning\na 6
 .5MGBP Center for Doctoral Training in Agricultural Robotics - the\nlarges
 t training programme in this area in the world - and I will\ndiscuss possi
 bilities for future collaboration in the area between our\nuniversities.\n
 \n\nBio: Charles Fox studied Computer Science at Cambridge (Clare\, 97)\,\
 nCognitive Science at Edinburgh\, and obtained his DPhil in Robotics at\nO
 xford. He was the leader of the InnovateUK IBEX2 Agricultural\nRobotics pr
 oject.  He worked as a high frequency trader for hedge fund\nAlgometrics a
 nd as a AI robotics researcher at the Universities of\nSheffield and Leeds
  before taking up a lectureship at the University\nof Lincoln. He is the a
 uthor of the Springer textbook "Data Science\nfor Transport".\n\n\nREFEREN
 CES\n\nDuckett et al\, 2018. Agricultural Robotics: The future of Robotic\
 nAgriculture\, UK-RAS white paper\, https://arxiv.org/abs/1806.06762\n\nBa
 su et al. 2018 Legal framework for small autonomous agricultural\nrobots. 
 AI & Society\,\nhttps://link.springer.com/article/10.1007/s00146-018-0846-
 4\n\nBinch&Fox\, 2017. Controlled comparison of machine vision algorithms\
 nfor Rumex and Urtica detection in grassland. Computers and Electronics\ni
 n Agriculture\,\nhttp://eprints.lincoln.ac.uk/32031/1/FoxBinch2017WeedsIbe
 x.pdf.
LOCATION:Room SS03\, Computer Laboratory\, William Gates Building
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