Automated Rice Transplanter with GPS and FOG

Nagasaka, Yoshisada; Umeda, Naonobu; Kanetai, Yutaka

doi:10.13031/2013.10006

Cited by 6 publications

(6 citation statements)

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“…As the wheelbase of the PV14 was longer than that of the usual rice transplanter, the turning radius was large, and it took more time to turn at the edge of the field. In 2002, the base vehicle was changed to a PH6 six-row rice transplanter manufactured by Iseki Corporation (Matsuyama, Japan) (Nagasaka, Taniwaki, Otani, & Shigeta, 2002). It had a shorter wheelbase than usual.…”

Section: Introductionmentioning

confidence: 99%

An autonomous rice transplanter guided by global positioning system and inertial measurement unit

Nagasaka

Saito

Tamaki

et al. 2009

Journal of Field Robotics

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This paper reports the development of an automated rice transplanter guided by a global positioning system and an inertia measurement unit using the controller area network bus. The actuator control command and data communication protocols comply with the ISO 11783. The project aims to develop an autonomous agricultural system for operation in the paddy field. The automated rice transplanter presented in this paper is the first stage in achieving the project objective. This paper focuses on the development of sensor and main computer connections to the operating autonomous unit and the use of common control protocols for each of the automated machines. A simple steering control algorithm was used for straight traveling. The automated rice transplanter made a turn at the headland of the paddy field and moved to the next desired path. After 12 straight operations, the rms lateral deviation was observed to be less than 0.04 m and the rms heading angle error was less than 3.6 deg. C 2009 Wiley Periodicals, Inc.

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Section: Introductionmentioning

confidence: 99%

An autonomous rice transplanter guided by global positioning system and inertial measurement unit

Nagasaka

Saito

Tamaki

et al. 2009

Journal of Field Robotics

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“…There is a tradeoff between accuracy and cost in the selection of DGPS and RTKGPS, with the latter being more accurate and expensive. RTKGPS has been giving very accurate results (Benson et al, 2001;Nagasaka et al, 2002;Noguchi et al, 2002). Gyros have been widely used for inclination measurement (Mizushima et al, 2002).…”

Section: Workhopmentioning

confidence: 99%

Engineering and Horticultural Aspects of Robotic Fruit Harvesting: Opportunities and Constraints

Burks¹,

Villegas²,

Hannan³

et al. 2005

horttech

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Automated solutions for fresh market fruit and vegetable harvesting have been studied by numerous researchers around the world during the past several decades. However, very few developments have been adopted and put into practice. The reasons for this lack of success are due to technical, economic, horticultural, and producer acceptance issues. The solutions to agricultural robotic mechanization problems are multidisciplinary in nature. Although there have been significant technology advances during the past decade, many scientific challenges remain. Viable solutions will require engineers and horticultural scientists who understand crop-specific biological systems and production practices, as well as the machinery, robotics, and controls issues associated with the automated production systems. Focused multidisciplinary teams are needed to address the full range of commodity-specific technical issues involved. Although there will be common technology components, such as machine vision, robotic manipula-tion, vehicle guidance, and so on, each application will be specialized, due to the unique nature of the biological system. Collaboration and technology sharing between commodity groups offers the benefit of leveraged research and development dollars and reduced overall development time for multiple commodities. This paper presents an overview of the major horticultural and engineering aspects of robotic mechanization for horticultural crop harvesting systems.

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“…And so, the task of turning at intersections is a very important task in order to sophisticate autonomous transportation systems between field and warehouse. An agricultural robot (Nagasaka, 2000;Noguchi and Reid, 2000) was developed with multiple sensor navigation consisting of a real time kinematic global positioning system (RTK-GPS), a fiber optic gyroscope (FOG) and machine vision for field operation. However, the system is very expensive and the accuracy of path trajectory depends on the GPS sensitivity.…”

Section: Introductionmentioning

confidence: 99%

Vision-based Navigation System for Autonomous Transportation Vehicle

2005

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Autonomous navigation using global positioning system (GPS) or geomagnetic direction sensor (GDS) to detect absolute position is widely used. An alternative system that detects boundary lines and intersections information can be achieved using machine vision based navigation systems. The objectives of this research are the development of the intersection detection method using machine vision and the approaching/turning at the intersection using dead reckoning method. Intersection guidance markers (IGM) were installed on farm road intersections. The method of intersection recognition involved the search to detect the IGM instead of the actual intersection, which would be difficult because the latter changes appearance through the season. Hough Transform and coordinate transformation was used for this purpose. A dead reckoning system for approaching and turning on the intersection was developed. Rotary encoders installed on both sides of the crawler sprocket are used as guidance sensors. RTK-DGPS and fiber optic gyroscope (FOG) were used for evaluating the track of autonomous traveling. The result of field tests (the speed was 0.8 m/s) showed the rms of intersection detection error and the dead reckoning error were 0.12 m at 8.64 Hz processing speed and 0.063 m respectively.

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Automated Rice Transplanter with GPS and FOG

Cited by 6 publications

References 0 publications

An autonomous rice transplanter guided by global positioning system and inertial measurement unit

An autonomous rice transplanter guided by global positioning system and inertial measurement unit

Engineering and Horticultural Aspects of Robotic Fruit Harvesting: Opportunities and Constraints

Vision-based Navigation System for Autonomous Transportation Vehicle

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