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In Czechia, harvesters contributed 43% of the total annual timber production in 2022. It is assumed that harvester technology will continue to be used intensively in the future, even though there is a change in the tree species composition of forests after the recent bark beetle outbreak and an increase in the use of close-to-nature forest management. The aim of this study was to analyse the over- and under-bark volume estimates of European larch timber produced by a harvester in Czechia. This study used the M3s price category for volume estimation. This volume was compared with the M3toDE price category. The M3toDE price category underestimated the over-bark volume by 5.59% compared to the M3s price category. However, for use in forestry practice in Czechia it is currently necessary to use the M3toDE price category. Therefore, the M3toDE price category was used to compare under-bark volumes according to different bark deduction methods. Differences were found between all the five methods investigated. Understanding this sub-issue will help in training operators, acquiring comprehensive knowledge about the functioning of harvester software and maximising the economic effect of the sale of larch timber.

In Czechia, harvesters contributed 43% of the total annual timber production in 2022. It is assumed that harvester technology will continue to be used intensively in the future, even though there is a change in the tree species composition of forests after the recent bark beetle outbreak and an increase in the use of close-to-nature forest management. The aim of this study was to analyse the over- and under-bark volume estimates of European larch timber produced by a harvester in Czechia. This study used the M3s price category for volume estimation. This volume was compared with the M3toDE price category. The M3toDE price category underestimated the over-bark volume by 5.59% compared to the M3s price category. However, for use in forestry practice in Czechia it is currently necessary to use the M3toDE price category. Therefore, the M3toDE price category was used to compare under-bark volumes according to different bark deduction methods. Differences were found between all the five methods investigated. Understanding this sub-issue will help in training operators, acquiring comprehensive knowledge about the functioning of harvester software and maximising the economic effect of the sale of larch timber. [ABSTRACT FROM AUTHOR]

Manufacturing industry faces increasing complexity in the performance of assembly tasks due to escalating demand for complex products with a greater number of variations. Operators require robust assistance systems to enhance productivity, efficiency, and safety. However, existing support services often fall short when operators encounter unstructured open questions and incomplete sentences due to primarily relying on procedural digital work instructions. This draws attention to the need for practical application of natural language processing (NLP) techniques. This study addresses these challenges by introducing a domain-specific dataset tailored to assembly tasks, capturing unique language patterns and linguistic characteristics. We explore strategies to process declarative and imperative sentences, including incomplete ones, effectively. Thorough evaluation of three pre-trained NLP libraries—NLTK, SPACY, and Stanford—is performed to assess their effectiveness in handling assembly-related concepts and ability to address the domain's distinctive challenges. Our findings demonstrate the efficient performance of these open-source NLP libraries in accurately handling assembly-related concepts. By providing valuable insights, our research contributes to developing intelligent operator assistance systems, bridging the gap between NLP techniques and the assembly domain within manufacturing industry. [ABSTRACT FROM AUTHOR]

Precision forestry is a useful technique to help forest stakeholders with proper sustainable forest management. Modern sensors and technologies, with special reference to the sustainability of forest operations, can be applied on a variety of levels, including the monitoring of forest activities regarding the three pillars (economy, environment, and society). In this review, we summarised the current level of knowledge regarding the use of precision forestry techniques for monitoring forest operations. We concentrated on recent data from the last five years (2019–2023). We demonstrated how an Industry 4.0 strategy for remote and proximal monitoring of working performance can be effective when using CAN-bus and StanForD data collected by modern forest machines. The same information can be effectively used to create maps of soil trafficability and to evaluate the patterns of skid tracks or strip roads built as a result of forest intervention. Similar information can be gathered in the case of small-scale forestry by using GNSS-RF (Global Navigation Satellite Systems—Radio Frequency) or even monitoring systems based on smartwatches or smartphones. LiDAR and Structure for Motion (SfM) photogrammetry are both useful tools for tracking soil rutting and disturbances caused by the passage of forest machinery. SfM offers denser point clouds and a more approachable method, whereas laser scanning can be considerably faster but needs a more experienced operator and better data-processing skills. Finally, in terms of the social component of sustainability, the use of location sharing technologies is strongly advised, based for instance on GNSS—RF to monitor the security of forest workers as they operate. [ABSTRACT FROM AUTHOR]

In Sweden, nature conservation management (NCM) is not applied to the extent needed to avoid negative impacts on biodiversity in voluntary set-asides and formal reserves. A limiting factor is the uncertainty of the costs for the operations caused by a lack of models for estimating costs and revenues in mechanized NCM. These may explain why some operations are highly profitable while others result in a net loss. Our aim was to compare harvester time consumption in NCM operations to final felling operations and estimate the added cost. Harvesting in 14 NCM stands and 399 final felling stands were studied using follow-up data. Harvesting intensity in NCM treatments varied generally between 25% and 50% of the standing volume. Time consumption in NCM operations was 1.1 to 1.4 times greater than in final felling, depending on management goal, machine size, and tree volume. Increased harvester time consumption is not the only factor influencing logging costs in an NCM operation. Compared to final felling, forwarder time consumption is expected to increase in the same way as in thinning operations. Field visits during spring 2022 allowed visual inspections of the stands after harvest and showed that NCM plans were generally followed with minor deviations. [ABSTRACT FROM AUTHOR]

Despite the extensive use of cut-to-length mechanized systems, harvester data remains largely underutilized by most stakeholders in Germany. Therefore, the goal of this study was to determine how business processes should be restructured to allow for a continuous use of forest machine data, with the main focus on harvester production data, along the German wood supply chain. We also wanted to identify possible benefits and challenges of the restructuring through a qualitative analysis of the newly designed business process. The Bavarian State Forest Enterprise was chosen for a case study approach. Based on expert interviews, the current and to-be processes were modeled. Results obtained from the qualitative data indicated that an integration of harvester data is achievable in Germany. Harvester data from forest operations can be provided to all subsequent activities along the supply chain. Core changes were the addition of a digital work order, the data exchange between harvester and forwarder, the pile order and the exchange of production data. Benefits for every stakeholder were determined. Through the reengineered process, harvesting and timber information are available and known at an earlier stage of the process, throughput information stations could be eliminated and working comfort could be improved. Ecological benefits could also be achieved through an anticipated reduction of CO2 emissions and protection of sensitive nature areas. Negative consequences of harvester data integration could appear in the social sphere and were in line with the reduction of personal contact. Challenges for the implementation in reality, besides the legal...

Competing Interests: Declaration of competing interest The authors have no competing interests to declare.

In this paper, I develop a critical assessment of epistemic instrumentalism as advocated by Kyle Stanford (2006). Epistemic instrumentalism is based on the claim that the criterion for the reliability of any theory is the absence of what Stanford calls ‘unconceived alternatives’. This means that the theory is reliable if and only if it does not admit of alternatives. Since most scientific theories do admit of unconceived alternatives, Stanford claims, they cannot be reliable. In contrast, ‘common sense’ claims are not exposed to unconceived alternatives, therefore they are reliable. Here, I analyse the definition of ‘common sense’ and argue that it is equally vulnerable to the ‘problem of unconceived alternatives’, pushing epistemic instrumentalism position to scepticism. The consequence is that the position of epistemic instrumentalist has nothing to stand on.

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