University of Padua

Modelling wood skidding extraction in mountainous forest though engine data acquisition and analysis: dataset

Bacescu, Mihail and Grigolato, Stefano and Marchi, Luca (2024) Modelling wood skidding extraction in mountainous forest though engine data acquisition and analysis: dataset. [Data Collection]

Collection description

The dataset presented forms the foundation of a study, which explores the use of standardized SAE J1939 data from forestry machines to improve decision-making and ensure sustainable forest operations. Conducted in alpine forests between January and September 2023, the research focused on a clam-bunk skidder, aiming to identify work phases, calculate fuel consumption, and model production per work cycle. The study also tested the feasibility of the Automated Time Study (ATS) in mountainous regions, achieving over 82% accuracy in identifying work cycles.

DOI: 10.25430/researchdata.cab.unipd.it.00001378
Keywords: fuel efficiency, J1939, time study, forestry, productivity, skidder
Subjects: Life Sciences > Applied Life Sciences, Biotechnology and Molecular and Biosystems engineering: Applied plant and animal sciences; forestry; food sciences; applied biotechnology; environmental, and marine biotechnology; applied bioengineering; biomass, biofuels; biohazard > Applied plant sciences (including crop production, plant breeding, agroecology, forestry, soil biology)
Department: Departments > Dipartimento di Territorio e sistemi agro-forestali (TESAF)
Depositing User: Stefano Grigolato
Date Deposited: 24 Sep 2024 07:54
Last Modified: 24 Sep 2024 07:54
Creators/Authors:
CreatorsEmailORCID
Bacescu, Mihailnarcismihail.bacescu@phd.unipd.itorcid.org/0000-0003-0581-0961
Grigolato, Stefanostefano.grigolato@unipd.itorcid.org/0000-0002-2089-3892
Marchi, Lucaluca.marchi@unipd.itorcid.org/0000-0003-0930-0483
Type of data: Text
Contributors:
ContributionNameEmail
CollaboratorOmar, PiolUNSPECIFIED
Research funder: European Commission
Research project title: ETN Skill-For.Action
Grant number: 956355
Collection period:
FromTo
January 2023December 2023
Geographic coverage: Italy
Data collection method: GNSS-System and CAN-BUS data from machine engine
Resource language: English
Metadata language: English
Publisher: Research Data Unipd
Date: 23 September 2024
Copyright holders: The Authors
URI: https://researchdata.cab.unipd.it/id/eprint/1378

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