Application Accuracy of a Machine Vision-controlled Robotic Micro-dosing System

Søgaard, H. T.; Lund, Ivar

doi:10.1016/j.biosystemseng.2006.11.009

Cited by 70 publications

(45 citation statements)

References 9 publications

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“…It has been applied to various agricultural operations, such as weeding [3,4], plant monitoring [5], application of fertilizer and chemicals [6] and harvesting [7][8][9]. However, to date, there have been limited commercial applications of these agricultural robots; mainly due to their high cost.…”

Section: Introductionmentioning

confidence: 99%

Moving Object Localization Using Sound-Based Positioning System with Doppler Shift Compensation

et al. 2013

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Sound-based positioning systems are a potential alternative low-cost navigation system. Recently, we developed such an audible sound-based positioning system, based on a spread spectrum approach. It was shown to accurately localize a stationary object. Here, we extend this localization to a moving object by compensating for the Doppler shift associated with the object movement. Numerical simulations and experiments indicate that by compensating for the Doppler shift, the system can accurately determine the position of an object moving along a non-linear path. When the object moved in a circular path with an angular velocity of 0 to 1.3 rad/s, it could be localized to within 25 mm of the actual position. Experiments also showed the proposed system has a high noise tolerance of up to −25 dB signal-to-noise ratio (SNR) without compromising accuracy.

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Section: Introductionmentioning

confidence: 99%

Moving Object Localization Using Sound-Based Positioning System with Doppler Shift Compensation

et al. 2013

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“…Precisely placed herbicides can be very effective in controlling weeds without resulting in lower crop yields (Felton and McCloy 1992), but the commercial availability of precision application equipment is limited by its robustness in a wide variety of field conditions, including fluctuating weather and changing plant canopy and architecture (Moody et al 2004). In addition, targeted recognition and application technology for precision weed control must be easily incorporated into current systems or used as standalone implements (Deng et al 2010;Søgaard and Lund 2007).…”

Section: Introductionmentioning

confidence: 99%

Targeted and Microdose Chemical Applications

Young

Giles

2013

Automation: The Future of Weed Control in Cropping Systems

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In cropping systems, the precise application of herbicides is important for efficacious weed control. By using plant recognition and precision application technology targeting individual plants, off-target movement can be eliminated and herbicide rates significantly reduced without sacrificing yields. Highly targeted applications of nonselective herbicides into a growing sensitive crop are novel operations, nonexistent before the development of plant-specific targeting. New application technologies are essential when spatial rather than chemical selectively is to be deployed. In many potential applications, the chemical delivery system becomes the spatial resolution and speed limiting factor in the system.

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“…Machine vision can be used to identify the position of an individual weed plant and a set of nozzles mounted close together can squirt a herbicide on to the weed. Tests have shown that splashing can be reduced when a gel is used as a carrier rather than water (Søgaard & Lund, 2005).…”

Section: Micro Sprayingmentioning

confidence: 99%