This review reports the recent state of the art in the field of mobile robots applied to precision agriculture. After a brief introduction to precision agriculture, the review focuses on two main topics. First, it provides a broad overview of the most widely used technologies in agriculture related to crop, field, and soil monitoring. Second, the main robotic solutions, with a focus on land-based robots, and their salient features are described. Finally, a short case study about a robot developed by the authors is introduced. This work aims to collect and highlight the most significant trends in research on robotics applied to agriculture. This review shows that the most studied perception solutions are those based on vision and cloud point detection and, following the same trend, most robotic solutions are small robots dedicated exclusively to monitoring tasks. However, the robotisation of other agricultural tasks is growing.

A Review of Robots, Perception, and Tasks in Precision Agriculture / Botta, Andrea; Cavallone, Paride; Baglieri, Lorenzo; Colucci, Giovanni; Tagliavini, Luigi; Quaglia, Giuseppe. - In: APPLIED MECHANICS. - ISSN 2673-3161. - ELETTRONICO. - 3:3(2022), pp. 830-854. [10.3390/applmech3030049]

A Review of Robots, Perception, and Tasks in Precision Agriculture

Andrea Botta;Paride Cavallone;Giovanni Colucci;Luigi Tagliavini;Giuseppe Quaglia
2022

Abstract

This review reports the recent state of the art in the field of mobile robots applied to precision agriculture. After a brief introduction to precision agriculture, the review focuses on two main topics. First, it provides a broad overview of the most widely used technologies in agriculture related to crop, field, and soil monitoring. Second, the main robotic solutions, with a focus on land-based robots, and their salient features are described. Finally, a short case study about a robot developed by the authors is introduced. This work aims to collect and highlight the most significant trends in research on robotics applied to agriculture. This review shows that the most studied perception solutions are those based on vision and cloud point detection and, following the same trend, most robotic solutions are small robots dedicated exclusively to monitoring tasks. However, the robotisation of other agricultural tasks is growing.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11583/2969552