The development and assessment of the accuracy of an autonomous GPS-based system for intra-row mechanical weed control in row crops

Nørremark, Michael; Griepentrog, Hans W.; Nielsen, Jon; Søgaard, H. T.

doi:10.1016/j.biosystemseng.2008.09.007

Cited by 115 publications

(76 citation statements)

References 18 publications

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“…While the main ma- chine control is the same for the AMS and the Armadillo, the implement control software on the AMS is individual and specific because it depends on the particular application type (inter-row hoe, cycloid hoe or punch seeder) [21,22,25].…”

Section: Machine Controller Softwarementioning

confidence: 99%

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Robots for Field Operations with Comprehensive Multilayer Control

2013

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Today research within agricultural technology focuses beside productivity and operation costs mainly on increasing the resource efficiency of crop production. Autonomous machines have the potential to significantly contribute to this by utilizing more multi-factorial real-time sensing and embedding artificial intelligence. A multilayer controller has successfully been implemented on two outdoor machines with various implements to conduct several agricultural applications in autonomous mode. Future work has to be conducted to achieve a more integrated and flexible implement control.

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Section: Machine Controller Softwarementioning

confidence: 99%

“…When the tractor lifted the three-point linkage, the side-shift and implement would be deactivated. More details are described in the specific publications [21,22,25].…”

Section: Tractor and Implement Mission Planningmentioning

confidence: 99%

Robots for Field Operations with Comprehensive Multilayer Control

2013

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“…Extensive research has been conducted to address this issue and alternate techniques have been developed to control weeds in the plant line [21][22][23].…”

Section: Precision Weed Management Systemmentioning

confidence: 99%

GNSS in Precision Agricultural Operations

Pérez-Ruiz¹,

Upadhyaya²

2012

New Approach of Indoor and Outdoor Localization Systems

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“…For a ground-based radio connection, such a loss of connection can occur without obstacles because ground-reflected radio waves experience a 180° phase shift of directly transmitted waves, which results in the attenuation of the transmitted wave [5]. Under good satellite and radio conditions, real-time kinematic GPS can reach centimeter-scale resolution for slow vehicle speeds [6] or at larger time steps of one second [7]. In addition, typical maps uploaded to agricultural machineries have a grid size in the meter range [8].…”

Section: Introductionmentioning

confidence: 99%

Precise Navigation of Small Agricultural Robots in Sensitive Areas with a Smart Plant Camera

2015

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Most of the relevant technology related to precision agriculture is currently controlled by Global Positioning Systems (GPS) and uploaded map data; however, in sensitive areas with young or expensive plants, small robots are becoming more widely used in exclusive work. These robots must follow the plant lines with centimeter precision to protect plant growth. For cases in which GPS fails, a camera-based solution is often used for navigation because of the system cost and simplicity. The low-cost plant camera presented here generates images in which plants are contrasted against the soil, thus enabling the use of simple cross-correlation functions to establish high-resolution navigation control in the centimeter range. Based on the foresight provided by images from in front of the vehicle, robust vehicle control can be established without any dead time; as a result, off-loading the main robot control and overshooting can be avoided.

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The development and assessment of the accuracy of an autonomous GPS-based system for intra-row mechanical weed control in row crops

Cited by 115 publications

References 18 publications

Robots for Field Operations with Comprehensive Multilayer Control

Robots for Field Operations with Comprehensive Multilayer Control

GNSS in Precision Agricultural Operations

Precise Navigation of Small Agricultural Robots in Sensitive Areas with a Smart Plant Camera

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