SciELO Analytics (Beta)
Brasil
Scientia Agricola (0103-9016)
Solum depth spatial prediction comparing conventional with knowledge-based digital soil mapping approaches

Received Citations (9)

publishing year previous first author document title
2015 Ciência e Agrotecnologia Pinto, Leandro Campos Micromorfologia e pedogênese de Cambissolos altimontanos na Serra da Mantiqueira (MG)
2017 Ciência e Agrotecnologia Pinto, Leandro Campos Efeito do uso do solo na hidropedologia em uma região montanhosa do sudeste do Brasil
2016 Scientia Agricola Menezes, Michele Duarte de Spatial prediction of soil properties in two contrasting physiographic regions in Brazil
2018 Scientia Agricola Pinto, Leandro Campos A hydropedological approach to a mountainous Clayey Humic Dystrudept in the Mantiqueira Range, southeastern Brazil
2016 Scientia Agricola Silva, Sérgio Henrique Godinho Geomorphometric tool associated with soil types and properties spatial variability at watersheds under tropical conditions
2020 Engenharia Sanitaria e Ambiental Oliveira, Alisson Souza de Water dynamics in springs recharge areas in two environments in the alto Rio Grande Region, Minas Gerais
2019 Scientia Agricola Carneiro, Anna Regina Tiago Fuzzy logic in automation for interpretation of adaptability and stability in plant breeding studies
2017 Revista Brasileira de Ciência do Solo Alvarenga, Lívia Alves Performance of a Distributed Hydrological Model Based on Soil and Moisture Zone Maps
2020 Revista Brasileira de Ciência do Solo Costa, Elias Mendes Mapping soil properties in a poorly-accessible area
This tool is under development and it is available in Beta Test version
This tool is under development and it was published with the objective to test the usage and performance. All the indicators are real and they are gradually being loaded. Slowness and out of service problems may occur in this version.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.