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Automated generation of guidance lines for operational field planning

Hameed, I.A. ; Bochtis, D.D.; Sørensen, C.G and Nørremark, M. (2010) Automated generation of guidance lines for operational field planning. Biosystems Engineering, 107, pp. 294-306.

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A number of advanced satellite positioning based systems for agricultural machines have been developed and are commercial available for aiding and supporting navigation efforts up to full auto-steering. Furthermore, in terms of the route planning for agricultural field operations, advanced methods based on combinatorial optimisation of fieldwork patterns have recently been introduced. In order to apply and implement these methods in the high-level control system of agricultural machines, an appropriate representation of the field as a geometrical entity made up of discrete geometric primitives, such as points, lines, and polygons is needed. Preferably, such a representation must be generated in real-time providing the input to the whole accuracy range of navigation systems as well as the range of operation types, equipment characteristics, and machinery kinematics. Here, a method for real-time generation of field geometrical representation for operational planning is presented. The representation regards simple or complex fields for both convex and non-convex field boundaries, where generated tracks can be straight or curved. As demonstration cases for the method, 15 different field types were evaluated. According to the experimental results, the computational time of the method was in the range of 0.11e239.73 s for the case of single-block fields and in the range of 2.24e402.59 s for multiple-blocks fields. The tested fields were of different shapes and the area ranged from 0.21 ha to 44.93 ha.

EPrint Type:Journal paper
Subjects: Crop husbandry > Weed management
Research affiliation: Denmark > DARCOF III (2005-2010) > WEEDS - Control of weeds in organic cropping
Denmark > AU - Aarhus University > AU, DJF - Faculty of Agricultural Sciences
Deposited By: Nørremark, Michael
ID Code:20655
Deposited On:26 Mar 2012 13:17
Last Modified:18 Apr 2012 09:55
Document Language:English
Refereed:Peer-reviewed and accepted

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