Efficiency Assessment of Fully Mechanized Harvesting System through the Use of Fleet Management System

Nowadays the spread of precision forestry has led to possibility collecting data related forest machines for an extended period and with enough support decisions in optimization harvesting strategies terms technological environmental efficiency. This study aims evaluate effective benefit automatic collection through fleet management system (FMS) two harvesters forwarders pine forests Poland. The also determine how use FMS can help companies manage their take advantage long-term monitoring. Focusing on performance indicators fuel consumption CO2 emissions, as well engine parameters from Can Bus data, exploration was performed following a Big Data approach, creation aggregate dataset, pre-elaboration (data cleaning, exploration, selection, etc.) using GIS R software. investigation considered machine productivity, case harvesters, specific each studied, time used by them during different working cycle activities total amount timber processed. main results indicate average emission 2.1 kg eq/m3 2.56 forwarders, which equates 0.24% carbon stored one cubic meter wood.