%0 Book Section
%9 OS CH : Chapitres d'ouvrages scientifiques
%A Naim, M.
%A Rizzo, Davide
%A Sauvée, L.
%A Medici, M.
%T A systematic classification of agrobots to inform farmers' choice and clarify market development
%B Precision agriculture '25
%C Leiden
%D 2025
%E Stafford, J.V.
%L fdi:010095104
%G ENG
%I Brill - Wageningen Academic
%@ 978-90-04-72522-5
%P 991-997
%R 10.1163/9789004725232_130
%U https://www.documentation.ird.fr/hor/fdi:010095104
%W Horizon (IRD)
%X The agricultural robots (agrobots) market is rapidly expanding yet remains fragmented with limited categorization to inform farmers' choices. This 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). Results also highlighted that energy source significantly impacts price, with endothermic agrobots generally being more expensive than electric


ones, with hybrid models showing intermediate pricing. This categorisation illustrates current market trends while providing an updated reference framework for key stakeholders such as agritech companies, farmers, investors, and policymakers.
%B ECPA.European Conference on Precision Agriculture
%8 2025/06/29-2025/07/03
%$ 098AGRIC ; 116TECHNO