• 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

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