Original scientific paper
https://doi.org/10.5552/crojfe.2024.2209
Economic Evaluation and Performance of a Tree Planting Machine Performing in Two Different Slope Classes and Conditions of Harvesting Slash
Rafael Ribeiro Soler
; Sao Paulo State University School of Agronomical Sciences Department of Rural Engineering and Socioeconomics Avenida Universitária, n° 3780 18610-034 – Altos do Paraíso, Botucatu, São Paulo BRAZIL
Saulo Philipe Sebastião Guerra
; Sao Paulo State University School of Agronomical Sciences Department of Rural Engineering and Socioeconomics Avenida Universitária, n° 3780 18610-034 – Altos do Paraíso, Botucatu, São Paulo BRAZIL
Guilherme Oguri
; Forestry Science and Research Institute Cooperative Program for Forestry Machine and Automation Via Comendador Pedro Morganti, nº 3500 13415-000 – Monte Alegre, Piracicaba, Sao Paulo BRAZIL
Sérgio Augusto Rodrigues
; Sao Paulo State University School of Agronomical Sciences Department of Bioprocess and Biotechnology Avenida Universitária, n° 3780 18610-034 – Altos do Paraíso, Botucatu, Sao Paulo BRAZIL
Abstract
In recent years, fully mechanized planters have gained attention in Brazil on flat to steep terrain. A field study was conducted to analyze the potential of a planting machine composed of a hydraulic crawler excavator and a planter unit to perform soil preparation and planting in two slope classes and two conditions of slash presence. The experimental area was divided according to slope – undulating (8% to 20%) and strong undulating (20% to 45%) – and the presence of slash. Slope class did not significantly affect productivity, nor was there a significant interaction effect between the slope and slash factors. The presence of slash proved to be statistically different, with mean productivity of 236 seedlings hour-1 when reloading the carousel in an area without harvesting slash. Tree planting machine utilization was 75.13%, and the mechanical availability was 79.6%. The presence of slash significantly reduced the tree planting machine productivity, including the seedling reloading time, suggesting a newer research line for fasters reloading seedling systems.
Keywords
forestry operations, silviculture, mechanization
Hrčak ID:
311909
URI
Publication date:
12.1.2024.
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