Autonomous robotic pruning in orchards and vineyards: A review

Manual pruning is labor intensive and represents up to 25% of annual labor costs in fruit production, notably in apple orchards and vineyards where operational challenges and cost constraints limit the adoption of large-scale machinery. In response, a growing body of research is investigating compac...

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Main Authors: Alessandro Navone, Mauro Martini, Marcello Chiaberge
Format: Article
Language:English
Published: Elsevier 2025-12-01
Series:Smart Agricultural Technology
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Online Access:http://www.sciencedirect.com/science/article/pii/S2772375525005143
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author Alessandro Navone
Mauro Martini
Marcello Chiaberge
author_facet Alessandro Navone
Mauro Martini
Marcello Chiaberge
author_sort Alessandro Navone
collection DOAJ
description Manual pruning is labor intensive and represents up to 25% of annual labor costs in fruit production, notably in apple orchards and vineyards where operational challenges and cost constraints limit the adoption of large-scale machinery. In response, a growing body of research is investigating compact, flexible robotic platforms capable of precise pruning in varied terrains, particularly where traditional mechanization falls short.This paper reviews recent advances in autonomous robotic pruning for orchards and vineyards, addressing a critical need in precision agriculture. Our review examines literature published between 2014 and 2024, focusing on innovative contributions across key system components. Special attention is given to recent developments in machine vision, perception, plant skeletonization, and control strategies, areas that have experienced significant influence from advancements in artificial intelligence and machine learning. The analysis situates these technological trends within broader agricultural challenges, including rising labor costs, a decline in the number of young farmers, and the diverse pruning requirements of different fruit species such as apple, grapevine, and cherry trees.By comparing various robotic architectures and methodologies, this survey not only highlights the progress made toward autonomous pruning but also identifies critical open challenges and future research directions. The findings underscore the potential of robotic systems to bridge the gap between manual and mechanized operations, paving the way for more efficient, sustainable, and precise agricultural practices.
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spelling doaj-art-a6525b62d1da41aebfe97dc105db9d782025-08-20T04:00:55ZengElsevierSmart Agricultural Technology2772-37552025-12-011210128310.1016/j.atech.2025.101283Autonomous robotic pruning in orchards and vineyards: A reviewAlessandro Navone0Mauro Martini1Marcello Chiaberge2Department of Electronics and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, Torino, 10129, TO, Italy; PIC4SeR, Politecnico di Torino Interdepartmental Center for Service Robotics, Corso Ferrucci 112, Torino, 10141, TO, Italy; Corresponding author at: Department of Electronics and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, Torino, 10129, TO, Italy.Department of Electronics and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, Torino, 10129, TO, Italy; PIC4SeR, Politecnico di Torino Interdepartmental Center for Service Robotics, Corso Ferrucci 112, Torino, 10141, TO, ItalyDepartment of Electronics and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, Torino, 10129, TO, Italy; PIC4SeR, Politecnico di Torino Interdepartmental Center for Service Robotics, Corso Ferrucci 112, Torino, 10141, TO, ItalyManual pruning is labor intensive and represents up to 25% of annual labor costs in fruit production, notably in apple orchards and vineyards where operational challenges and cost constraints limit the adoption of large-scale machinery. In response, a growing body of research is investigating compact, flexible robotic platforms capable of precise pruning in varied terrains, particularly where traditional mechanization falls short.This paper reviews recent advances in autonomous robotic pruning for orchards and vineyards, addressing a critical need in precision agriculture. Our review examines literature published between 2014 and 2024, focusing on innovative contributions across key system components. Special attention is given to recent developments in machine vision, perception, plant skeletonization, and control strategies, areas that have experienced significant influence from advancements in artificial intelligence and machine learning. The analysis situates these technological trends within broader agricultural challenges, including rising labor costs, a decline in the number of young farmers, and the diverse pruning requirements of different fruit species such as apple, grapevine, and cherry trees.By comparing various robotic architectures and methodologies, this survey not only highlights the progress made toward autonomous pruning but also identifies critical open challenges and future research directions. The findings underscore the potential of robotic systems to bridge the gap between manual and mechanized operations, paving the way for more efficient, sustainable, and precise agricultural practices.http://www.sciencedirect.com/science/article/pii/S2772375525005143PruningAutonomous robotsReviewOrchardsVineyards
spellingShingle Alessandro Navone
Mauro Martini
Marcello Chiaberge
Autonomous robotic pruning in orchards and vineyards: A review
Smart Agricultural Technology
Pruning
Autonomous robots
Review
Orchards
Vineyards
title Autonomous robotic pruning in orchards and vineyards: A review
title_full Autonomous robotic pruning in orchards and vineyards: A review
title_fullStr Autonomous robotic pruning in orchards and vineyards: A review
title_full_unstemmed Autonomous robotic pruning in orchards and vineyards: A review
title_short Autonomous robotic pruning in orchards and vineyards: A review
title_sort autonomous robotic pruning in orchards and vineyards a review
topic Pruning
Autonomous robots
Review
Orchards
Vineyards
url http://www.sciencedirect.com/science/article/pii/S2772375525005143
work_keys_str_mv AT alessandronavone autonomousroboticpruninginorchardsandvineyardsareview
AT mauromartini autonomousroboticpruninginorchardsandvineyardsareview
AT marcellochiaberge autonomousroboticpruninginorchardsandvineyardsareview