2023
DOI: 10.3390/agriengineering5020048
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Agricultural Harvesting Robot Concept Design and System Components: A Review

Abstract: Developing different robotic platforms for farm operations is vital to addressing the increasing world population. A harvesting robot significantly increases a farm’s productivity while farmers focus on other relevant farm operations. From the literature, it could be summarized that the design concepts of the harvesting mechanisms were categorized as grasping and cutting, vacuum suction plucking systems, twisting and plucking mechanisms, and shaking and catching. Meanwhile, robotic system components include th… Show more

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Cited by 12 publications
(8 citation statements)
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“…Technological innovation in this process is pivotal for improving agricultural productivity, soil management, climate resilience, and environmental remediation [12]. Integrating complex data acquisition systems, processing algorithms, and control systems to develop automated harvesting platforms can address these challenges [13][14][15][16][17][18]. Moreover, high-resolution sensors and high-end computers can lead to expensive hardware expenses.…”
Section: Introductionmentioning
confidence: 99%
“…Technological innovation in this process is pivotal for improving agricultural productivity, soil management, climate resilience, and environmental remediation [12]. Integrating complex data acquisition systems, processing algorithms, and control systems to develop automated harvesting platforms can address these challenges [13][14][15][16][17][18]. Moreover, high-resolution sensors and high-end computers can lead to expensive hardware expenses.…”
Section: Introductionmentioning
confidence: 99%
“…Due to the fragility of sugar beets and the stringent requirements for the quality of the final product, harvesting is a crucial operation [8][9][10]. Efficient and high-quality harvesting, using specialized machines such as multi-row self-propelled harvesters, is mandatory [11][12][13][14]. Nowadays, some modern harvesters have the possibility of installing adaptive devices based on computer vision systems, by which a significant amount of losses during the harvesting process can be reduced, thanks to, for instance, a digital two-dimensional recording system combined with a convolutional neural network (CNN) for detecting defects in harvested sugar beets [15,16].…”
Section: Introductionmentioning
confidence: 99%
“…Meanwhile, reference [10] chooses a high-speed mechanical rolling blade to cut off the pumpkin's stem. Four-wheel vehicles are dominant in developing a harvesting robot [11] because of their light weight and flexibility for dampish conditions. Likewise, track vehicles are less sensitive to the ground environment, so it can work well in swampy and wet ground quality [12].…”
Section: Introductionmentioning
confidence: 99%