Summary
This narrative review synthesises the state-of-the-art in mobile robotics for precision agriculture, examining both perception technologies (vision systems, point cloud detection) and robotic platforms for monitoring and task automation. The authors highlight that vision-based and point cloud perception dominate current research, with most deployed robots focused on monitoring functions, though broader robotic automation of agricultural tasks is expanding.
Regional applicability
The review is technology-focused rather than geographically specific, covering global research trends in agricultural robotics. Findings on perception systems and robotic platforms are broadly transferable to United Kingdom farming contexts, though uptake and applicability will depend on farm scale, commodity, and existing precision agriculture infrastructure.
Key measures
Not applicable; this is a review of robotic technologies and perception systems rather than a primary empirical study.
Outcomes reported
The review synthesises recent advances in mobile robotics applied to precision agriculture, covering perception technologies for crop, field and soil monitoring, and robotic solutions with emphasis on land-based platforms. It identifies vision and point cloud detection as the most studied perception approaches, and notes the predominance of small monitoring robots alongside emerging uptake of robotic automation for broader agricultural tasks.
Topic tags
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