@incollection{fdi:010095104,
  title = {{A} systematic classification of agrobots to inform farmers' choice and clarify market development},
  author = {{N}aim, {M}. and {R}izzo, {D}avide and {S}auv{\'e}e, {L}. and {M}edici, {M}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he agricultural robots (agrobots) market is rapidly expanding yet remains fragmented with limited categorization to inform farmers' choices. {T}his study analysed the commercial description of 71 robots currently available on the market through a cluster analysis. {K}-means clustering allowed the identification of five clusters characterised by significant differences in turning radius and energy source (p<0.05), and in weight and battery life (p<0.1). {R}esults also highlighted that energy source significantly impacts price, with endothermic agrobots generally being more expensive than electric


ones, with hybrid models showing intermediate pricing. {T}his categorisation illustrates current market trends while providing an updated reference framework for key stakeholders such as agritech companies, farmers, investors, and policymakers.},
  keywords = {},
  booktitle = {{P}recision agriculture '25},
  numero = {},
  pages = {991--997},
  address = {{L}eiden},
  publisher = {{B}rill - {W}ageningen {A}cademic},
  series = {},
  year = {2025},
  DOI = {10.1163/9789004725232_130},
  ISBN = {978-90-04-72522-5},
  URL = {https://www.documentation.ird.fr/hor/fdi:010095104},
}