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Accuracy and reliability analysis of timber measurement and scaling using harvesters
Ollila, Ilari Esanpoika
At the start of millennia harvesters in forestry have gained popularity for their productive and accurate timber processing. However the accuracy of harvester measurement and overall reliability is often in question and hot topic in forest technology as it is directly responsible for economical profits of the machine. As harvesters timber measurement is affected by various factors both internally and externally the influence level of these factors needed practical approach. In the view of this aim of this analysis was directed to discover the factors and characteristics that are essential to harvesters timber measurement. Target of this analysis is divided in to practical field measurements and harvester simulator experiments. In the field measurements small number of trees were measured with various measurement methods which are used in the professional field of forestry. For harvester simulator experiments number parameters in the computer system were chosen that are linked to timber measurement and modified based on their individual characteristics. Results for both field measurements and harvester simulator experiments were processed and analyzed to see which had the most essential effect on the measurement accuracy and reliability and what other discoveries it might produce. Field measurement data analysis discovered that 3D scanner and image analysis produced the most accurate measurement results and harvester underestimated the tree volume data in most of the assortments. Other notion was that image analysis over measured some tree stem bases that had over expanded butt part. Simulator parameter experimentation led to the discovery that price type and diameter base curve had the most influence on the timber volume estimation while other experimented parameters produced less data change after their modification. Also some parameter were restricted by other parameters from producing any possible discoveries.

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