2019
DOI: 10.1007/s11370-018-00273-4
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Optimum harvesting area of convex and concave polygon field for path planning of robot combine harvester

Abstract: This paper presents an optimum harvesting area of a convex and concave polygon for the path planning of a robot combine harvester. A convenient optimum harvesting area for a convex and concave polygon is proposed. The notion is that path planning specifically for a robot combine harvester is required to choose the crop field optimum harvesting area; otherwise, crop losses may occur during harvesting of the field. For a safe turning margin of the robot combine harvester, the surrounding crop near the boundary z… Show more

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Cited by 37 publications
(11 citation statements)
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“…14 Typically, the CPP algorithm efficiency and performance are evaluated based on several criteria: the coverage ratio, path distance, completion time, energy consumption, and obstacle avoidance capability. [15][16][17][18] CPP is relevant to various autonomous robotics applications such as floor cleaning, 19,20 lawn mowing, 21 agriculture harvesting, 22 landmine detection, 23 and structural inspections. 24 Meanwhile, a situation that demands radiation mapping could vary from emergency response, searching for missing or orphan sources, environmental monitoring, or safety assessment of a workplace area.…”
Section: Related Workmentioning
confidence: 99%
“…14 Typically, the CPP algorithm efficiency and performance are evaluated based on several criteria: the coverage ratio, path distance, completion time, energy consumption, and obstacle avoidance capability. [15][16][17][18] CPP is relevant to various autonomous robotics applications such as floor cleaning, 19,20 lawn mowing, 21 agriculture harvesting, 22 landmine detection, 23 and structural inspections. 24 Meanwhile, a situation that demands radiation mapping could vary from emergency response, searching for missing or orphan sources, environmental monitoring, or safety assessment of a workplace area.…”
Section: Related Workmentioning
confidence: 99%
“…More all-encompassing automation is expected in agriculture. Current studies are ongoing to develop fully autonomous greenhouses (Ko, Ryuh, Kim, Suprem, & Mahalik, 2014), drone surveillance (Mogili & Deepak, 2018), robot weeders (Hussmann, Knoll, Meissner, & Holtorf, 2019) and fully automated harvesters that can find their way across fields (Rahman, Ishii, & Noguchi, 2019). All these development will generate big data that has to be processed and interpreted to maximize the benefits of these systems and to integrate data streams from different systems.…”
Section: High Tech and Precision Agriculturementioning
confidence: 99%
“…The autonomous combine harvester moves on the paddy field following a programmed work trajectory. Determining the work trajectory is an integral part of an autonomous combine harvester to work optimally: maximum work area, minimum loss, and minimum cost [7]. The work trajectory is made based on the type of work, the machine's character, the land environments, the shape of the land, IOP Publishing doi:10.1088/1755-1315/1038/1/012058 2 and obstacles [8].…”
Section: Introductionmentioning
confidence: 99%