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Forests
Special Issues
Forest Machinery and Mechanization
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Special Issue "Forest Machinery and Mechanization"

A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Forest Operations and Engineering".

Deadline for manuscript submissions: 25 September 2023 | Viewed by 724

Special Issue Editors

Dr. Mariusz Kormanek

E-Mail Website
Guest Editor
Engineering and Forest Techniques, Department of Forest Utilization, Faculty of Forestry, University of Agriculture in Krakow, Al. 29 Listopada 46, 31-425 Kraków, Poland
Interests: soil physics; terramechnics; forest technique; container nursery; automation and robotization; renewable energy sources
Prof. Dr. Stanisław Małek

E-Mail Website
Guest Editor
Engineering and Forest Techniques, Department of Forest Utilization, Faculty of Forestry, University of Agriculture in Krakow, Al. 29 Listopada 46, 31-425 Kraków, Poland
Interests: environmental impact assessment; water quality; soil science; environment; geochemistry; trees; fertilizers; environmental analysis; water science; precipitation; sustainability; plants
Dr. Jiří Dvořák

E-Mail Website
Guest Editor
Institute of Forest Use of Forest Engineering and Technology, Faculty of Forestry and Wood Sciences Czech University of Life Sciences Prague, Prague, Czech Republic
Interests: trees; productivity analysis; machines; efficiency analysis
Prof. Dr. Jozef Krilek

E-Mail Website
Guest Editor
Department of Environmental and Forestry Technology, Technical University in Zvolen, Zvolen, Slovakia
Interests: forestry; agricultural engineering; automotive engineering; mechanical engineering

Special Issue Information

Dear Colleagues,

The rapid development of technology, combined with an increase in the demand for wood and reduced access to cheap labour, has resulted in significant progress in the construction of machines used in forestry in the last few decades. This has resulted in significant progress in the production, acquisition and processing of wood used in forest management. Automation and robotization are concepts that nowadays are often associated with forestry. This Special Issue aims to present the achievements in the field of modern technical and technological solutions that have recently appeared in forest management, with a particular emphasis on automation and robotization.

Potential topics include, but are not limited to, the following:

  • New design solutions in forest machines;
  • Automation and robotization in forestry;
  • Measuring systems for monitoring work, testing forest machines and their performance;
  • Electronics and computer science in forestry and in forest machines.

Dr. Mariusz Kormanek
Prof. Dr. Stanisław Małek
Dr. Jiří Dvořák
Prof. Dr. Jozef Krilek
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Forests is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • automation
  • robotization
  • electronics
  • measurement systems
  • new forest machines

Published Papers (1 paper)

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Research

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Article
Accuracy of Double Bark Thickness Estimation Methods Used in Spruce—(Picea abies L. Karst) Timber Production in Czechia
by
Martin Jankovský
,
Zuzana Dudáková
,
Michal Allman
,
Jiří Dvořák
,
Prince Opoku Peseu
and
Sandra Paola García Jácome
Forests 2023, 14(5), 1026; https://doi.org/10.3390/f14051026 - 16 May 2023
Viewed by 432
Abstract
The accurate estimation of bark thickness is important for foresters for several reasons. It is crucial for timber volume estimation and can help improve the quality of forestry records, and bark has a growing commercial importance as a high-value bioresource. The problem is [...] Read more.
The accurate estimation of bark thickness is important for foresters for several reasons. It is crucial for timber volume estimation and can help improve the quality of forestry records, and bark has a growing commercial importance as a high-value bioresource. The problem is that models such as the Czech Cubic Tables (CCT) polynomial model are frequently unique. Furthermore, the official method requires rounding down the midspan over-bark diameter (DOB) to the nearest centimetre to estimate the double bark thickness (DBT) and merchantable timber volume. Therefore, we verified the significance of the effects of rounding down the midspan DOB on DBT using a dataset of 438 recently harvested Norway spruce (Picea abies L. Karst.) logs from the Central Bohemian region. The correlation analysis showed that for measured data without rounding down the diameters, the variability of the DBT was able to explain only 8% of the DOB variability. As for the rounded-down data, the coefficient of determination was slightly higher, reaching 9%. The paired-samples T-tests showed a significant difference between the DBT as calculated directly from measured data and that from the rounded-down over-bark diameters (p < 0.05). The polynomial and linear models underestimated the DBT (2.24 and 1.75 mm on average, respectively) on measured data. In contrast, for data from the rounded-down DOB, the models overestimated the DBT (2.70 or 3.18 mm on average, respectively). Full article
(This article belongs to the Special Issue Forest Machinery and Mechanization)
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