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  • Format: ePub

Reviews the use of machine vision technologies to measure soil texture, structure and topography | Provides an overview of recent advances in the use of machine learning in agri-food robotics | Considers the application of machine vision in indoor farming, focussing on its use in plant factories with artificial lighting

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Produktbeschreibung
  • Reviews the use of machine vision technologies to measure soil texture, structure and topography
  • Provides an overview of recent advances in the use of machine learning in agri-food robotics
  • Considers the application of machine vision in indoor farming, focussing on its use in plant factories with artificial lighting

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Autorenporträt
Contributions by: Jean-Marc Gilliot, AgroParisTech Paris Saclay University, France; and Ophélie Sauzet, University of Applied Sciences of Western Switzerland, The Geneva Institute of Technology, Architecture and Landscape (HEPIA), Soils and Substrates Group, Institute Land-Nature- Environment (inTNE Institute), Switzerland; Megan Long, John Innes Centre, UK; Polina Kurtser, Örebro University and Umeå University, Sweden; Stephanie Lowry, Örebro University, Sweden; and Ola Ringdahl, Umeå University, Sweden; Wei Ma and Zhiwei Tian, Institute of Urban Agriculture, Chinese Academy of Agricultural Sciences, China; C. Arcidiacono and S. M. C. Porto, University of Catania, Italy