Design, Operation and Performance of a Gantry System: Experience in Arable Cropping

Chamen, W. C. T.; Dowler, D.; Leede, P.R.; Longstaff, D.J.

doi:10.1006/jaer.1994.1063

Cited by 43 publications

(21 citation statements)

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“…Sie gingen aus den Gedanken des Controlled Traffic Farming (CTF) zur Bewirtschaftung mit minimaler Bodenbeanspruchung hervor. Verschiedene Systeme wurden beispielsweise in Großbritannien und Dänemark entwickelt (Chamen et al 1994;Pedersen et al 2013) (Abbildung 5). Ein Überblick über die bisherige Forschung bietet Chamen (2014).…”

Section: Gantry-systemeunclassified

Mit autonomen Landmaschinen zu neuen Pflanzenbausystemen

Minßen

Urso

Gaus³

et al. 2015

ATZ Offhighway

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Section: Gantry-systemeunclassified

Mit autonomen Landmaschinen zu neuen Pflanzenbausystemen

Minßen

Urso

Gaus³

et al. 2015

ATZ Offhighway

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“…By assessing the above research (the "Tilling robots" section through the "Harvesting robot" section), the overall research scope and various challenges that need to be addressed for efficient agricultural production are discussed in this section. Herbicide application using intelligent boom spray in a wheat field A study by Chamen et al (1994) showed that the soil compaction by tractor operations in a field uses 80-90% of energy in conventional agriculture. This soil compaction requires tilling operations to loosen the soil.…”

Section: Scope and Challengesmentioning

confidence: 99%

Task-based agricultural mobile robots in arable farming: A review

Aravind

Raja

Pérez-Ruiz

2017

Span. j. agric. res.

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In agriculture (in the context of this paper, the terms "agriculture" and "farming" refer to only the farming of crops and exclude the farming of animals), smart farming and automated agricultural technology have emerged as promising methodologies for increasing the crop productivity without sacrificing produce quality. The emergence of various robotics technologies has facilitated the application of these techniques in agricultural processes. However, incorporating this technology in farms has proven to be challenging because of the large variations in shape, size, rate and type of growth, type of produce, and environmental requirements for different types of crops. Agricultural processes are chains of systematic, repetitive, and time-dependent tasks. However, some agricultural processes differ based on the type of farming, namely permanent crop farming and arable farming. Permanent crop farming includes permanent crops or woody plants such as orchards and vineyards whereas arable farming includes temporary crops such as wheat and rice. Major operations in open arable farming include tilling, soil analysis, seeding, transplanting, crop scouting, pest control, weed removal and harvesting where robots can assist in performing all of these tasks. Each specific operation requires axillary devices and sensors with specific functions. This article reviews the latest advances in the application of mobile robots in these agricultural operations for open arable farming and provide an overview of the systems and techniques that are used. This article also discusses various challenges for future improvements in using reliable mobile robots for arable farming.Additional key words: precision agriculture; task-based agricultural robots; soil analysis; seeding; weed detection; harvesting; crop scouting robot Correspondence should be addressed to P. Raja: raja_sastra@yahoo.com

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“… Dedicate-use RTK base station and RTK networks: Real-time kinematic (RTK) systems establish the most accurate solution for GNSS applications, producing typical errors of less than 2 cm. This level of precision is not needed for general site-specific farming, but it does permit treatment of specific small location such as a plant-specific operation and is essential for precision guidance [6,13], controlled traffic farming [7,8], mechanical intra-row weed control or thinning of crop plants [14]. In this method, a base station is located at a known point close to where the vehicle operates and communicates with the rover through a radio transmitter.…”

Section: Real-time Differential Gps Correctionmentioning

confidence: 99%