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Estimating the position of the harvester head : a key step towards the precision forestry of the future?

Lindroos, Ola (author)
Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Skogens biomaterial och teknologi,Department of Forest Biomaterials and Technology,Department of Forest Biomaterials and Technology, Swedish University of Agricultural Sciences, Umeå, Sweden
Ringdahl, Ola, 1971- (author)
Umeå universitet,Institutionen för datavetenskap
Pedro, La Hera (author)
Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Skogens biomaterial och teknologi,Department of Forest Biomaterials and Technology,Department of Forest Biomaterials and Technology, Swedish University of Agricultural Sciences, Umeå, Sweden
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Hohnloser, Peter, 1983- (author)
Umeå universitet,Institutionen för datavetenskap
Hellström, Thomas, 1956- (author)
Umeå universitet,Institutionen för datavetenskap
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 (creator_code:org_t)
 
Zagreb : University of Zagreb, 2015
2015
English.
In: Croatian Journal of Forest Engineering. - Zagreb : University of Zagreb. - 1845-5719 .- 1848-9672. ; 36:2, s. 147-164
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Modern harvesters are technologically sophisticated, with many useful features such as the ability to automatically measure stem diameters and lengths. This information is processed in real time to support value optimization when cutting stems into logs. It can also be transferred from the harvesters to centralized systems and used for wood supply management. Such information management systems have been available since the 1990s in Sweden and Finland, and are constantly being upgraded. However, data on the position of the harvester head relative to the machine are generally not recorded during harvesting. The routine acquisition and analysis of such data could offer several opportunities to improve forestry operations and related processes in the future. Here, we analyze the possible benefits of having this information, as well as the steps required to collect and process it. The benefits and drawbacks of different sensing technologies are discussed in terms of potential applications, accuracy and cost. We also present the results of preliminary testing using two of the proposed methods. Our analysis indicates that an improved scope for mapping and controlling machine movement is the main benefit that is directly related to the conduct of forestry operations. In addition, there are important indirect benefits relating to ecological mapping. Our analysis suggests that both of these benefits can be realized by measuring the angles of crane joints or the locations of crane segments and using the resulting information to compute the head's position. In keeping with our findings, two companies have recently introduced sensor equipped crane solutions.

Subject headings

LANTBRUKSVETENSKAPER  -- Lantbruksvetenskap, skogsbruk och fiske -- Skogsvetenskap (hsv//swe)
AGRICULTURAL SCIENCES  -- Agriculture, Forestry and Fisheries -- Forest Science (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Robotteknik och automation (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Robotics (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Annan teknik -- Övrig annan teknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Other Engineering and Technologies -- Other Engineering and Technologies not elsewhere specified (hsv//eng)

Keyword

boom tip control
automation
ALS
sensors
harvester data
data- och systemvetenskap
computer and systems sciences

Publication and Content Type

ref (subject category)
art (subject category)

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