A systematic classification of agrobots to inform farmersâ choice and clarify market development

M. Naim; D. Rizzo; L. SauvÃ©e; M. Medici

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A systematic classification of agrobots to inform farmersâ choice and clarify market development

In: Precision agriculture '25

Authors:

M. Naim

M. Naim
mohammad.naim@unilasalle.fr

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D. Rizzo

D. Rizzo

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L. SauvÃ©e

L. SauvÃ©e

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M. Medici

M. Medici

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Type:: Chapter

Pages:: 991â997

DOI:: https://doi.org/10.1163/9789004725232_130

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Dar Hadith al Hassania

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The agricultural robots (agrobots) market is rapidly expanding yet remains fragmented with limited categorization to inform farmersâ 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.

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Precision agriculture '25

E-Book ISBN:: 9789004725232

Publisher:: Wageningen Academic

Print Publication Date:: 18 Jun 2025

Subjects
- Life Sciences
  - General
  - Agriculture & Environment

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A systematic classification of agrobots to inform farmersâ choice and clarify market development

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Precision agriculture '25

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A systematic classification of agrobots to inform farmersâ choice and clarify market development