2019
DOI: 10.19103/as.2019.0056.14
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The use of agricultural robots in orchard management

Abstract: The use of robotic or automated machines in orchard operations is associated primarily with insufficient labor availability and rapidly increasing labor costs in tree fruit production and is critical for improving yield of high-quality fruit with minimal dependence on seasonal human labor. Primarily, mechanized or robotic orchard management operations (after establishment of the trees) include pruning, thinning, spraying and harvesting.Pruning is an operation to grow fruit trees into a desired shape for improv… Show more

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Cited by 36 publications
(15 citation statements)
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“…Deep reinforcement learning (DRL) technique is an accurate and reliable method to find an optimal path with nearest and collision avoidance route. This technique can be adopted by phenotyping robots to manipulate a robotic arm for grasping process or to navigate a mobile robot between crop rows (Zhang et al, 2015;Zhang et al, 2019;Duguleana and Mogan, 2016;Franceschetti et al, 2018;Taghavifar et al, 2019). Although the robotic phenotyping is mainly focusing on leaf and stem, it can be utilized for other plant organs such as inflorescences (spike, panicle, and tassel), flowers, fruits, and roots.…”
Section: Perspective Applications Of Robotic Phenotypingmentioning
confidence: 99%
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“…Deep reinforcement learning (DRL) technique is an accurate and reliable method to find an optimal path with nearest and collision avoidance route. This technique can be adopted by phenotyping robots to manipulate a robotic arm for grasping process or to navigate a mobile robot between crop rows (Zhang et al, 2015;Zhang et al, 2019;Duguleana and Mogan, 2016;Franceschetti et al, 2018;Taghavifar et al, 2019). Although the robotic phenotyping is mainly focusing on leaf and stem, it can be utilized for other plant organs such as inflorescences (spike, panicle, and tassel), flowers, fruits, and roots.…”
Section: Perspective Applications Of Robotic Phenotypingmentioning
confidence: 99%
“…Robotic systems have been playing a more significant role in modern agriculture and considered as an integral part of precision agriculture or digital farming (Wolfert et al, 2017;Chlingaryan et al, 2018;Zhang et al, 2019;Hassanijalilian et al, 2020b;Jin et al, 2020;Pandey et al, 2021). The robots are fully autonomous and do not need experienced operators to accomplish farming tasks.…”
mentioning
confidence: 99%
“…The area around the target can be labeled the target space and used for 3D reconstruction of the target. Visual-institutional coordination and error tolerance can be used to enhance robotic anti-collision precision picking guidance, picking sequence planning and the decision-making behavior of a robot (Tanigaki et al, 2008;Zou et al, 2012;Barth et al, 2019;Zhang et al, 2019).…”
Section: Visual Harvesting Robotmentioning
confidence: 99%
“…Recent technology advancement in visual identification and 3D reconstruction, positioning and fault tolerance increased the applications of robotics in agriculture including crop harvesting. Like other robotic systems in the field, agricultural robots use artificial intelligence to perform various labor-intensive agricultural tasks such as planting, spraying, trimming and harvesting (Edan et al, 2009;Zhang et al, 2019). In many developing countries that are highly dependent on agriculture for food, employment, income, and social stability, agriculture harvesting robots have become an urgent need.…”
Section: Introductionmentioning
confidence: 99%
“…The result of the pair-wise comparison is presented in Table 4. Cost (f3) The cost associated with either acquiring or hiring an autonomous agricultural machine will influence the decision of the farm owner (Shockley and Dillon 2018;Zhang et al 2019). In the in-field concept, the automation interface is envisioned as an onboard display mounted in the supervisor's machine.…”
Section: Analysis Of Remote Supervision Conceptsmentioning
confidence: 99%