Creation of value through a harvester on-board bucking optimization system operated in a spruce stand

Labelle, Eric R.; Huss, Linus

doi:10.14214/sf.9947

Cited by 8 publications

(7 citation statements)

References 8 publications

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“…The frequency of partial harvests is on the rise as more forest operations are performed under close-to-nature/ continuous cover forestry [125,126]. During such operations, it might become more difficult to reach the suggested brush amounts for adequate soil protection [117].…”

Section: Use Of Amendments As Mitigation Techniquesmentioning

confidence: 99%

Strategies to Mitigate the Effects of Soil Physical Disturbances Caused by Forest Machinery: a Comprehensive Review

et al. 2022

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Purpose of Review Ground-based mechanized forest operations can cause severe soil disturbances that are often long lasting and detrimental to the health of forested ecosystems. To reduce these soil disturbances, focus is being increasingly directed at identifying and using appropriate mitigation techniques. This systematic review considered 104 scientific articles and reported the main findings according to four core themes: terrain-related factors, operational planning, machine modifications, and types of amendments used to mitigate machine-induced soil impacts. Recent Findings For terrain-related factors, most severe disturbances occur on machine operating trails exceeding 20% slope and that soil bulk density and rut depth show greater increases in fine-textured soils. When considering operational planning, trafficability maps proved to be helpful in reducing the frequency and magnitude of soil damages as well as the length of trails needed within harvest sites, especially if they are regularly updated with weather information. Machine modifications, through high flotation tires, use of extra bogie axle, lower inflation pressure, and use of steel flexibles tracks, are highly researched topics because of the considerable upside in terms of machine ground pressure distribution and increased traction. Two main types of amendments emerged to mitigate soil disturbances: brush mats and mulch cover. Brush mats created from harvesting debris can spread the load of a machine to a greater area thereby lowering peak loads transferred to the soil. Brush mats of 15–20 kg m−2 are being recommended for adequate soil protection from harvesting operations. Summary To conclude, we outline recommendations and strategies on the use of soil mitigation techniques within cut-to-length forest operations. New research opportunities are also identified and discussed. Considering single factors causing machine-induced soil disturbances remains important but there is a pressing need for having a multi-disciplinary approach to tackle the complex problems associated with machine/soil/plant interactions.

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Section: Use Of Amendments As Mitigation Techniquesmentioning

confidence: 99%

Strategies to Mitigate the Effects of Soil Physical Disturbances Caused by Forest Machinery: a Comprehensive Review

et al. 2022

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“…Concerning bucking optimization, previously collected harvester data improved meeting the book order (Murphy et al 2004) and the GA-controlled demand matrices also improved the bucking drastically (Kivinen 2006). Automatic bucking can also ameliorate the productivity and revenue of products as compared to quality bucking (performed by the harvester operator), particularly when trees with strong apical dominance are harvested (Labelle and Huß 2018). Conversely, when trees exhibit severe crooks and forks, such as the case with Scots pine (Pinus sylvestris L.) found in Germany, quality bucking generally generated a higher harvesting productivity and revenue (Labelle et al 2017).…”

Section: Precisionmentioning

confidence: 97%

“…A different field of bucking optimization is the comparison of bucking methods. Stem diameter values and length measurements were used in the study from Labelle and Huß (2018) to feed the bucking algorithm of the OBC to predict optimal bucking in a Norway spruce dominated stand. The objective was to determine if automatic bucking lead to different harvesting productivity, product recovery and product revenue through the use of an optimization software as compared to manual bucking.…”

Section: Buckingmentioning

confidence: 99%

Using harvester data from on-board computers: a review of key findings, opportunities and challenges

Kemmerer

Labelle

2020

Eur J Forest Res

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Single-grip harvesters are equipped with an on-board computer that can normally collect standardized data. In times of increased mechanization, digitalization and climate change, use of this extensive data could provide a solution for better managing calamities-outbreaks and gaining competitiveness. Because it remains unclear in which way harvester data can contribute to this and optimization of the forest supply chain, the focus of this review was to provide a synopsis of how harvester data can be used and present the main challenges and opportunities associated with their use. The systematic literature review was performed with Scopus and Web of Science in the period from 1993 to 2019. Harvester data in form of length and diameter measurements, time, position and fuel data were used in the fields of bucking, time study, inventory and forest operation management. Specifically, harvester data can be used for predicting stand, tree and stem parameters or improving and evaluating the bucking. Another field of application is to evaluate their performance and precision in comparison to other time study methods. Harvester data has a broad range of application, which offers great possibilities for research and practice. Despite these advantages, a lack of precision for certain data types (length and diameter), particularly for trees exhibiting complex architecture where the contact of the measuring wheel on the harvesting head to the wooden body cannot be maintained, and position data, due to signal deflection, should be kept in mind.

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“…To enable the efficient use of any technology, we must study all relevant characteristics connected to it. Several aspects of using the harvester technology were studied, such as the damage to logs by feed roller spikes [20][21][22], the impact of heavy machinery on soil [23], harvester efficiency and performance [24,25], bucking optimization [26], harvester productivity [27][28][29], time consumption analysis [30][31][32] and harvester operators [33]. However, one key aspect of the harvester technology has been largely neglected in the scientific literature: the control and information systems and standards connected with their settings to achieve the most accurate volume estimates of the produced timber.…”

Section: Introductionmentioning

confidence: 99%

Differences in Timber Volume Estimates Using Various Algorithms Available in the Control and Information Systems of Harvesters

Löwe

Sedmíková

Natov

et al. 2019

Forests

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Timber is the most important source of revenue in forestry and, therefore, is necessary to precisely estimate its volume. The share of timber volume produced by harvesters is annually growing in many European countries. Suitable settings of harvesters will allow us to achieve the most accurate volume estimates of the produced timber. In this study, we compared the different methods of log volume estimation applied by control and information systems of harvesters. The aim was to analyze the price categories that can be set up in the StanForD standard and to determine the differences between the algorithms used for log volume estimations. We obtained the data from *.STM files collected from March 2017 until June 2018 on a medium-size harvester. We analyzed price categories and found seven different algorithms used to estimate the log volumes. Log volume estimates according to Algorithm A2 were considered as standard because these estimates should be closest to the true log volumes. Significant differences, except the difference between Algorithm A2 and Algorithm A3, were found between log volumes estimated by different algorithms. After categorization of logs to assortments, the results showed that significant differences existed between algorithms in each assortment. In the roundwood assortment, which contains the most valuable logs, a difference of more than 6% was found between the log volumes estimated by Algorithm A5 and Algorithm A2. This is interesting because Algorithm A5 is widely used in some Central European countries. To obtain volumes closest to the true volumes, we should use Algorithm A2 for the harvester production outputs. The resulting differences between the algorithms can be used to estimate the volume difference between harvester outputs using the different price categories. Understanding this setting of harvesters and the differences between the price categories will provide users useful information in applied forest management.

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Creation of value through a harvester on-board bucking optimization system operated in a spruce stand

Cited by 8 publications

References 8 publications

Strategies to Mitigate the Effects of Soil Physical Disturbances Caused by Forest Machinery: a Comprehensive Review

Strategies to Mitigate the Effects of Soil Physical Disturbances Caused by Forest Machinery: a Comprehensive Review

Using harvester data from on-board computers: a review of key findings, opportunities and challenges

Differences in Timber Volume Estimates Using Various Algorithms Available in the Control and Information Systems of Harvesters

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