The need to minimize environmental impacts without productivity reductions led to the search for alternative methods of production, in order to maintain soil quality (SQ) and the sustainability of ecosystems. This study was divided into three chapters, each one with a specific goal: soil attributes were analyzed in an attempt to obtain a minimum data set (MDS). Then the additive and weighted additive index were calculated, aimed at quantifying the SQ; the environmental performance of agricultural systems in the production of biomass was evaluated from the perspective of emergy; decision tree model (DT) was applied to identify the soil attributes which are affected by the change use from native Cerrado to non-tillage systems. This study was carried out in São Carlos and São Desidério cities, São Paulo and Bahia States, respectively. At São Carlos, topsoil samples were collected from different land uses includes two natural (cerradão and stricto sensu cerrado) and two agricultural areas (sugarcane and pasture). At São Desidério, soil samples were collected from four agricultural areas with different usage periods (5, 8, 12 and 18 years) in the rotation soy-corn-cotton system and native Cerrado area. In chapter 1, MDS was identified through principal component analysis, normalized and integrated into additive and weight additive index. In chapter 2, only the soil quality change (ΔSQ) between agricultural areas and native Cerrado was quantified, and combined with the adoption of environmental accounting protocols, the emergy indicators Input Embodiment in Soil Quality Change (IESQ) and Input Embodiment in Additional Biomass (IEAB) were proposed. In chapter 3, the data set used was the same from the second chapter. The soil attributes were used as potential predictor in the generation of the DT and the target attribute was land use. In chapter 1, the MDS was composed by sum of bases, pH, soil organic matter, aluminum content (Al), clay, bulk density, water content at field capacity and microbial biomass carbon. The SQI additive and weight additive for cerradão, cerrado, sugarcane and pasture were 3.88, 2.24, 4.72 and 3.76, and 0.62, 0.36, 0.57 and 0.54, respectively, with the highest value for cerradão. In chapter 2, the 12 years area had the highest ΔSQ with +29.3 values. The total emergy incorporated into the soybeans, corn and cotton crops were 4.68E+15, 5.38E+15 and 7.28E+15 sej ha-1 year-1 , res pectively. The 12 year area was the most efficient on the use of resources (external inputs) by SQ increase (IESQ = 0.19E+15 sej unit-1) and per unit of biomass (IEAB = 0.78E+15 sej Mg-1). This is equivalent to 73% less inputs demand (in terms of emergy) for obtaining the same increase of biomass of area of 8 years of cultivation. The DT model in chapter 3 allowed us to better understand the main attributes responsible for the differentiation of native Cerrado and agricultural areas. The content of Al, pH, phosphorus and total organic carbon were the attributes selected for the DT.