AE—Automation and Emerging Technologies

Ryu, Ki‐Hyun; Kim, Geehyun; Han, Jin-Suk

doi:10.1006/jaer.2000.0656

Cited by 64 publications

(17 citation statements)

References 6 publications

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“…Those factors were the situations encountered during the testing of transplanting more than 5,000 plugs. Each 12 optimal level of soil moisture content (44-59%) reported by Ryu et al (2001). The difference may be attributed to the physicochemical properties of the substrates used in the two studies.…”

Section: Resultsmentioning

confidence: 96%

“…According to the testing results in this study, seedling removal with a four-pin gripper should be accomplished as simply as possible to reduce the transplanting cost. Compared with other studies (Yang et al, 1991;Ryu et al, 2001;Choi et al, 2002;Yu et al, 2013;Ye et al, 2013), it was further proved that acting on the root mass with four fine pick-up pins could facilitate the seedling extraction better.…”

mentioning

confidence: 73%

“…All tests were done to ensure that the pins can grasp the maximum amount of root soil. For horticultural factors, an optimum range of root system moisture content should be determined to facilitate the seedling extractions (Ryu et al, 2001;Mao et al, 2014). Thus, the seedlings moisture conditions were strictly investigated in this study.…”

Section: Performance Testmentioning

confidence: 99%

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Development of a doorframe-typed swinging seedling pick-up device for automatic field transplantation

Han

Mao

et al. 2015

Span. j. agric. res.

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<p>A doorframe-typed swing seedling pick-up device for automatic field transplanters was developed and evaluated in a laboratory. The device, consisting of a path manipulator and two grippers, can move the pins slowly to extract seedlings from the tray cells and return quickly to the pick-up point for the next extraction. The path manipulator was constructed with the creative design of type-Ⅱ mechanism combination in series. It consists of an oscillating guide linkage mechanism and a grooved globoidal cam mechanism. The gripper is a pincette-type mechanism using the pick-up pins to penetrate into the root mass for seedling extraction. The dynamic analysis of the designed seedling pick-up device was simulated with ADAMS software. Being the first prototype, various performance tests under local production conditions were conducted to find out the optimal machine operation parameters and transplant production conditions. As the gripper with multiple fine pins was moved by the swing pick-up device, it can effectively complete the transplanting work cycle of extracting, transferring, and discharging a seedling. The laboratory evaluation showed that the pick-up device equipped with two grippers can extract 80 seedlings/min with a 90% success and a 3% failure in discharging seedlings, using 42-day-old tomato plantlets. The quality of extracting seedlings was satisfactory.</p>

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Section: Resultsmentioning

confidence: 96%

mentioning

confidence: 73%

Section: Performance Testmentioning

confidence: 99%

See 1 more Smart Citation

Development of a doorframe-typed swinging seedling pick-up device for automatic field transplantation

Han

Mao

et al. 2015

Span. j. agric. res.

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“…Tai et al designed a machine vision system to identify and locate the empty positions in the transplanted seedling trays by counting leaf-like pixels existing in an area which is around the cube center; the success rate is 95% [40]. Ryu et al developed a robotic transplanter for bedding plants which includes a vision system to identify the location of empty cells by counting and comparing the number of white pixels (seedling leaves) with a pre-defined value [41]. Wang et al used a camera mounted on a tractor to capture local images of corns and determined whether there is a shortage of corn by obtaining the center of the corn seedling and calculating the distance between the adjacent corn seedlings [42].…”

Section: Related Workmentioning

confidence: 99%

Failure Detection in Eucalyptus Plantation Based on UAV Images

Zhao

Wang

Sun

et al. 2021

Forests

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The information of the locations and numbers of failures is crucial to precise management of new afforestation, especially during seedling replanting in young forests. In practice, foresters are more accustomed to determining the locations of failures according to their rows than based on their geographical coordinates. The relative locations of failures are more difficult to collect than the absolute geographic coordinates which are available from an orthoimage. This paper develops a novel methodology for obtaining the relative locations of failures in rows and counting the number of failures in each row. The methodology contains two parts: (1) the interpretation of the direction angle of seedlings rows on an unmanned aerial vehicle (UAV) orthoimage based on the probability statistical theory (called the grid-variance (GV) method); (2) the recognition of the centerline of each seedling rows using K-means and the approach to counting failures in each row based on the distribution of canopy pixels near the centerline of each seedling row (called the centerline (CL) method). The experimental results showed that the GV method can accurately interpret the direction angle of rows (45°) in an orthoimage and the CL method can quickly and accurately obtain the numbers and relative locations of failures in rows. The failure detection rates in the two experimental areas were 91.8% and 95%, respectively. These research findings can provide technical support for the precise cultivation of planted seedling forests.

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“…Seedling selection in the seedling cultivation stage improves the quality of automatic transplanting [10]. Ryu [11] designed a robotic transplanter with a vision system for bedding plants. The vision system could identify empty cells and reduce transplanting time with the identification success rate of empty cells higher than 95%.…”

Section: Introductionmentioning

confidence: 99%

Design of and Experiment with Seedling Selection System for Automatic Transplanter for Vegetable Plug Seedlings

et al. 2021

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In the process of vegetable plug seedling cultivation, packaging, and transportation, there may be missing, unhealthy or injured seedlings in the tray, which results in a missed planting or a low seedling survival rate after automatic transplanting. In this study, a seedling selection system with the function of seedlings identification, week seedlings elimination, and missing seedlings supplement was developed for an automatic transplanter. A plug seedling identification system based on a machine vision was used to detect vegetable plug seedlings based on the area characteristics of plug seedlings, stem leaves and plug bodies. The identification results were transmitted to a programmable logic controller (PLC), which controlled a nozzle to eliminate the unqualified seedlings from the conveyor belt lattice. When the empty conveyor belt lattice reaches the seedling throwing funnel, the rear conveyor belt lattice with the plug seedling is accelerated to ensure the continuity of seedlings supply. The adaptive fuzzy PID control algorithm was used to control the stepper motor of the conveyor belt to realize accurate seedling conveying and a seedling supplement. Using 30 days pepper plug seedlings as experimental seedlings, a comparative field experiment was carried out to evaluate the performance of the seedling selection system. The results showed that when the seedling selection system was turned on and the seedling extracting frequencies were 60, 80, and 100 plants/min, the success rates of plug seedling identification were 98.84%, 98.38%, and 96.99%, and the robust seedling rates were 98.05%, 97.78%, and 95.83%. The robust seedling rates were increased by 15.64%, 16.07%, and 13.89%, respectively, in contrast to turning off the seedling selection system.

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AE—Automation and Emerging Technologies

Cited by 64 publications

References 6 publications

Development of a doorframe-typed swinging seedling pick-up device for automatic field transplantation

Development of a doorframe-typed swinging seedling pick-up device for automatic field transplantation

Failure Detection in Eucalyptus Plantation Based on UAV Images

Design of and Experiment with Seedling Selection System for Automatic Transplanter for Vegetable Plug Seedlings

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