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 …

Modern computerization facilitates data-gathering from forest machines, and offers new
opportunities to develop models for predicting productivity in forest harvest operations. In …

The efficiency of cable-based yarding systems has been studied extensively, resulting in
numerous work productivity models (ie models predicting the ratio between output and time) …

Modern forest harvesters automatically collect large amounts of standardized work-related
data. Statistical machine learning methods enable detailed analyses of large databases …

Modern industrial technology enables to collect and process large amount of data, providing
valuable information for different industry activities. A representative case of this evolution is …

The aim of this study was the development of a methodical processing line for estimating the
log's volume from scanning logs using a long-range high-speed personal laser scanner …

Recent developments in on-board technology have enabled automatic collection of follow-
up data on forwarder work. The objective of this study was to exploit this possibility to obtain …

Uruguay has adopted cut-to-length (CTL) machines in forest harvesting operations,
especially in large scale, fast-growing plantations. The majority of modern CTL machines …

Accurate positioning of single trees registered automatically during harvesting operations
opens up new possibilities for reducing the field sampling effort in forest inventories utilising …

Sažetak Manual time and motion studies are the most common method to collect forest
harvesting machine performance data. However, manual methods require skilled observers …