A soil productivity system reveals most Brazilian agricultural lands are below their maximum potential

LT Greschuk, JAM Demattê, NEQ Silvero, NA Rosin - Scientific Reports, 2023 - nature.com
Food production is extremely dependent on the soil. Brazil plays an important role in the
global food production chain. Although only 30% of the total Brazilian agricultural areas are …

[HTML][HTML] A new methodological framework for geophysical sensor combinations associated with machine learning algorithms to understand soil attributes

DC Mello, GV Veloso, MG Lana… - Geoscientific Model …, 2022 - gmd.copernicus.org
Geophysical sensors combined with machine learning algorithms were used to understand
the pedosphere system and landscape processes and to model soil attributes. In this …

Digital map** of soil weathering using field geophysical sensor data coupled with covariates and machine learning

DC de Mello, TO Ferreira, GV Veloso… - Journal of South …, 2023 - Elsevier
Understanding the weathering intensities can provide answers for environmental issues,
soil, and geoscience studies. Recently, geophysical approaches and machine learning …

Map** deactivated mine areas in the amazon forest impacted by seasonal flooding: Assessing soil-hydrological processes and quality dynamics by remote sensing …

F de Carvalho Nasser, DC de Mello… - Remote Sensing …, 2024 - Elsevier
Mining activities significantly impact the environment, calling for environmental restoration
efforts. In this study, we quantified and mapped areas affected by seasonal floods by using a …