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Articles containing the keyword 'learning'

Category : Article

article id 4811, category Article
Raimo Lehto. (1970). Opetustoiminnan taustaa ja työnopetus Hirvaan metsäkonekoulussa. Silva Fennica vol. 4 no. 1 article id 4811. https://doi.org/10.14214/sf.a14600
English title: Background of education and occupational instruction at the Hirvas Forest Machine School.
Original keywords: metsäopetus; Lappi; koulutus; Suomi; Hirvaan metsäkonekoulu; koneenkuljettaja; metsäkoneet; oppiminen; työnopetus; ammattikoulutus
English keywords: Finland; Lapland; forest education; Hirvas Forest Machine School; technical school; forest machines; teaching; learning; vocational education
Abstract | View details | Full text in PDF | Author Info

The share of occupational instruction at the Forest Machine School varies between 70 and 80%. The paper describes organization of the education, curriculum, teaching methods, practical training, machinery, and learning experience of the students. It discusses the influence of teaching programme, and school environment on attitudes and motivation of the students.

The school employs an adaptation of the TW I method in its actual methods of occupational instruction. The method of demonstration is also employed. The size of a training group has been restricted to 10 pupils, and the school has attempted to acquire plenty of instruction components, material for repair, and practice worksites. In this way the repetition of essentials can be guaranteed. The minimum factor in driver training is the competence to use a grab loader. In the training of mechanics the core competence is the diagnostics of defects and the making of adjustments.

The PDF includes a summary in English.

  • Lehto, E-mail: rl@mm.unknown (email)

Category : Research article

article id 10068, category Research article
Lari Melander, Risto Ritala, Markus Strandström. (2019). Classifying soil stoniness based on the excavator boom vibration data in mounding operations. Silva Fennica vol. 53 no. 2 article id 10068. https://doi.org/10.14214/sf.10068
Keywords: spot mounding; activity recognition; stoniness classification; supervised machine learning
Highlights: An excavator was equipped with an inertial measurement unit for taking automatic measurements of soil stoniness during mounding work; Supervised machine-learning classifiers were trained utilizing both the automatically measured data and manual stoniness measurements; The class prediction for the soil stoniness achieved an accuracy of 70% when assigned to constant grid cells.
Abstract | Full text in HTML | Full text in PDF | Author Info

The stoniness index of forest soil describes the stone content in the upper soil layer at depths of 20–30 centimeters. This index is not available in any existing map databases, and traditional measurements for the stoniness of the soil have always necessitated laborious soil-penetration methods. Knowledge of the stone content of a forest site could be of use in a variety of forestry operations. This paper presents a novel approach to obtaining automatic measurements of soil stoniness during an excavator-based mounding operation. The excavator was equipped with only a low-cost inertial measurement unit and a satellite navigation receiver. Using the data from these sensors and manually conducted soil stoniness measurements, supervised machine learning methods were utilized to build a model that is capable of predicting the stoniness class of a given mounding location. This study compares different classifiers and feature selection methods to find the most promising solution for this learning problem. The discussion includes a proposition for a meaningful measurement resolution of the soil’s stoniness, and a practical method for evaluating the variability of the stone content of the soil. The results indicate that it is possible to predict the soil stoniness class with 70% accuracy using only the inertial and location measurements.

  • Melander, Automation Technology and Mechanical Engineering, Tampere University, FI-33014 Tampere University, Finland ORCID http://orcid.org/0000-0003-3662-5187 E-mail: lari.melander@tuni.fi (email)
  • Ritala, Automation Technology and Mechanical Engineering, Tampere University, FI-33014 Tampere University, Finland ORCID http://orcid.org/0000-0003-0721-9948 E-mail: risto.ritala@tuni.fi
  • Strandström, Metsäteho Oy, Vernissakatu 1, FI-01300 Vantaa, Finland E-mail: markus.strandstrom@metsateho.fi
article id 1693, category Research article
Olalla Díaz-Yáñez, Blas Mola-Yudego, José Ramón González-Olabarria. (2017). What variables make a forest stand vulnerable to browsing damage occurrence? Silva Fennica vol. 51 no. 2 article id 1693. https://doi.org/10.14214/sf.1693
Keywords: moose; forest damage; cervid; machine learning; risk modelling; ungulates
Highlights: Stands more vulnerable to browsing damage are young with lower densities and dominated by birch, pine or mixed species; Stand size could play a role on forest susceptibility to browsing occurrence.
Abstract | Full text in HTML | Full text in PDF | Author Info

Ungulate browsing results in important damages on the forests, affecting their structure, composition and development. In the present paper, we examine the occurrence of browsing damage in Norwegian forests, using data provided by the National Forest Inventory along several consecutive measurements (entailing the period 1995–2014). A portfolio of variables describing the stand, site and silvicultural treatments are analyzed using classification trees to retrieve combinations related to browsing damage. Our results indicate that the most vulnerable forest stands are young with densities below 1400 trees ha–1 and dominated by birch, pine or mixed species. In addition, stand diversity and previous treatments (e.g. thinnings) increase the damage occurrence and other variables, like stand size, could play a role on forest susceptibility to browsing occurrence although the latter is based on weaker evidence. The methods and results of our study can be applied to implement management measures aiming at reducing the browsing damages of forests.

  • Díaz-Yáñez, School of Forest Sciences, University of Eastern Finland, PO Box 111, 80101 Joensuu, Finland ORCID http://orcid.org/0000-0003-3829-5759 E-mail: olalla.diaz@gmail.com (email)
  • Mola-Yudego, Norwegian Institute of Bioenergy Research, P.O. Box, 115, 1431 Ås, Norway; School of Forest Sciences, University of Eastern Finland, PO Box 111, 80101 Joensuu, Finland ORCID http://orcid.org/0000-0003-0286-0170 E-mail: blas.mola@uef.fi
  • González-Olabarria, Forest Sciences Centre of Catalonia (CTFC-CEMFOR), Ctra. de St. Llorenç de Morunys, km 2, 25280 Solsona, Spain ORCID http://orcid.org/0000-0002-5040-712X E-mail: jr.gonzalez@ctfc.es
article id 1214, category Research article
Katri Hamunen, Outi Virkkula, Teppo Hujala, Juha Hiedanpää, Mikko Kurttila. (2015). Enhancing informal interaction and knowledge co-construction among forest owners. Silva Fennica vol. 49 no. 1 article id 1214. https://doi.org/10.14214/sf.1214
Keywords: communities of practice; forest owner clubs; guidance; knowledge sharing; learning communities; peer learning; social network
Highlights: Forest owners’ own communities could complement the present expert-driven forestry extension; Enhancing informal interaction between forest owners calls for sufficiently homogeneous reference groups and also new communication contexts; New purposes of forest ownership and innovative forest management practices are suggested topics for novel owner communities; Forest professionals may initiate these communities, but the continuity depends on the owners themselves.
Abstract | Full text in HTML | Full text in PDF | Author Info
It is a common concern that non-resident private forest owners are less able to make informed decisions regarding their forests. Moreover, the present guidance given by forest professionals is not reaching all owners. In this study, we suggest enhancing knowledge exchange among forest owners by increasing their mutual and informal interaction that could inspire them to co-construct new knowledge. The first objective is to identify present emerging activities that constitute knowledge exchange contexts (communities) for Finnish forest owners. The second objective is to discuss the challenges of current Finnish forest extension and their implications when introducing Communities of Practice as a complementary response to existing, yet insufficient, professional-led extension. Data consist of Finnish forest owners’ and forest professionals’ (n = 43) focus group interviews. The qualitative analysis was theoretically oriented followed by data-driven coding and grouping. According to the results, the role of expert-led encounters is strong in Finland and owners’ opportunities for good mutual communication are rare. Informal communities exist mainly in the countryside among neighbouring owners and within families. To enhance knowledge sharing among owners, one needs to identify innovative topics and activities that would inspire owners to commit to their forest property and perform active silviculture. These communities would operate as creative learning environments allowing participation of different levels. When cultivating forest owners’ communities it is important to consider actors’ roles. Forest owners themselves are responsible for the functions and continuity of these communities, although forest professionals could also initiate new and sufficiently homogenous reference groups for the owners.
  • Hamunen, Natural Resources Institute Finland (Luke), New Business Opportunities, P.O. Box 68, FI-80101 Joensuu, Finland E-mail: katri.hamunen@luke.fi
  • Virkkula, Oulu University of Applied Sciences, Kotkantie 1, FI-90250 Oulu, Finland E-mail: outi.virkkula@oamk.fi
  • Hujala, Natural Resources Institute Finland (Luke), New Business Opportunities, P.O. Box 18, FI-01301 Vantaa, Finland ORCID http://orcid.org/0000-0002-7905-7602 E-mail: teppo.hujala@luke.fi (email)
  • Hiedanpää, Natural Resources Institute Finland (Luke), Economy and Society, Itäinen Pitkäkatu 3, FI-20520 Turku, Finland E-mail: juha.hiedanpaa@luke.fi
  • Kurttila, Natural Resources Institute Finland (Luke), New Business Opportunities, P.O. Box 68, FI-80101 Joensuu, Finland E-mail: mikko.kurttila@luke.fi

Category : Research note

article id 1717, category Research note
Jussi Manner, Olle Gelin, Anders Mörk, Martin Englund. (2017). Forwarder crane’s boom tip control system and beginner-level operators. Silva Fennica vol. 51 no. 2 article id 1717. https://doi.org/10.14214/sf.1717
Keywords: productivity; automation; cut-to-length logging; haulage; crane work; extraction; learning curve
Highlights: Boom tip control (BTC) allows the operator to control boom tip movements directly, instead of controlling each movement separately to achieve the desired boom tip movement; BTC eased boom control, so beginner-level operators using BTC achieved higher productivity than beginner-level operators using a conventional (reference) system; There were no significant differences in the slopes of learning curves between the systems.
Abstract | Full text in HTML | Full text in PDF | Author Info

The forwarder loads processed wood and transports it to a landing. Productivity of forwarding could be improved by increasing driving speed, but difficult forest terrain limits this. According to current literature, crane work is the most time-consuming work element of forwarding, so improving crane work productivity is essential for improving forwarding productivity. One way to do this is through automation of recurrent boom movement patterns, or alternatively automation can be used to ease crane work. When using conventional boom control (CBC), the operator manually controls each of the independent boom joint movements and combines them to achieve a desired boom tip movement, but boom tip control (BTC) allows the operator to control boom tip movements directly. The objective of the present study was to examine whether BTC facilitates crane work and affects the slopes of learning curves for beginner-level forwarder operators. The study was carried out using a standardised test routine to evaluate effects of two fixed factors, system (levels: CBC, BTC) and point of time (four levels), on five dependent variables. Four of the five dependent variables measured ease of boom control and the fifth measured crane work productivity. The results showed that there were no significant differences in the slopes of learning curves between the systems but the BTC did increase crane work productivity and made boom control easier.

  • Manner, The Forestry Research Institute of Sweden (Skogforsk), Uppsala Science Park, SE-751 83 Uppsala, Sweden ORCID http://orcid.org/0000-0002-4982-3855 E-mail: jussi.manner@skogforsk.se (email)
  • Gelin, The Forestry Research Institute of Sweden (Skogforsk), Uppsala Science Park, SE-751 83 Uppsala, Sweden E-mail: olle.gelin@skogforsk.se
  • Mörk, The Forestry Research Institute of Sweden (Skogforsk), Uppsala Science Park, SE-751 83 Uppsala, Sweden E-mail: anders.mork@skogforsk.se
  • Englund, The Forestry Research Institute of Sweden (Skogforsk), Uppsala Science Park, SE-751 83 Uppsala, Sweden E-mail: martin.englund@skogforsk.se

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