The Economics of Autonomous Vehicles in Agriculture

Goense, D.

doi:10.13031/2013.18842

Cited by 11 publications

(11 citation statements)

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“…Goense (2003) compared autonomous with conventional vehicles, equipped with implements having working widths from 0.5 to 1.2 m. He showed that when the autonomous vehicles can be utilised 23 h a day, they would be economically feasible given slight reductions in prices of navigation systems or with slight increases in labour costs. On the other hand, there may be negative effects in the form of higher costs in travelling distances for service personal.…”

Section: Introductionmentioning

confidence: 99%

Agricultural robots—system analysis and economic feasibility

Pedersen

Fountas²,

Have³

et al. 2006

Precision Agric

185

118

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This paper focuses on the economic feasibility of applying autonomous robotic vehicles compared to conventional systems in three different applications: robotic weeding in high value crops (particularly sugar beet), crop scouting in cereals and grass cutting on golf courses. The comparison was based on a systems analysis and an individual economic feasibility study for each of the three applications. The results showed that in all three scenarios, the robotic applications are more economically feasible than the conventional systems. The high cost of real time kinematics Global Positioning System (RTK-GPS) and the small capacity of the vehicles are the main parameters that increase the cost of the robotic systems.

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Section: Introductionmentioning

confidence: 99%

Agricultural robots—system analysis and economic feasibility

Pedersen

Fountas²,

Have³

et al. 2006

Precision Agric

185

118

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show abstract

“…Using the same setup as in Figure 4, white noise sound with a different sound signal-to-noise ratio (sound SNR) was introduced to simulate background noise. Sound SNR is calculated as: 10 log 20 (13) Seven noise levels were trialed: 0, −5, −10, −15, −20, −25 and −30 (all values in dB). The performance was then evaluated by using correlation SNR, as described in Equations (11) and (12).…”

Section: The Influence Of Noisementioning

confidence: 99%

“…Among the components that make up an automated agricultural robot, the navigation system is a major contributor to the total development cost. A reduction in the price of the navigation system, combined with optimum operating time, will enable autonomous agricultural vehicles to become economically feasible [10]. Thus, the development of a low cost navigation system is critical to realizing the wide spread use of commercial agricultural robots.…”

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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“…Goense (2003) compared autonomous with conventional vehicles, equipped with implements having working widths from 50 to 120 cm. He showed that if an autonomous vehicles can be utilised 23 hours a day, it would be economic feasible with slight reductions in prices of navigation systems or with slight increases in labour costs.…”

Section: Economicsmentioning

confidence: 99%