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ETHNOS_APP

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Bozhi Wang

Dados Biográficos

ID9675626
NOMEBozhi Wang
PRENOMESBozhi
SOBRENOMEWang
ASSINATURAWANG B
AFILIAÇÕESXi'an Institute of Electromechanical Information Technology China
ORCID0000-0001-7040-2206
VERIFICADOSim
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2025
ANO MAIS RECENTE DE PUBLICAÇÃO2025
ÍNDICE H0
  • Mapping Soil Organic Carbon in High‐standard Farmland Construction Areas Using Machine Learning Algorithms

    Open Access•Zhaoqi Wu, Zening Wu et al.•ARTICLE•Land Degradation and Development•2025

    Accurate mapping soil organic carbon (SOC) in high‐standard farmland (HSF) construction areas is essential for optimizing agricultural management practices and achieving carbon sequestration. However, how to quantify the construction activities of HSF and predict SOC is still unclear. In this study, we proposed a framework to quantify the impacts of HSF construction activities on SOC from four perspectives: landscape pattern, agricultural infrast…

Sem obras proeminentes nesta página.

  • Mapping Soil Organic Carbon in High‐standard Farmland Construction Areas Using Machine Learning Algorithms

    Open Access•Zhaoqi Wu, Zening Wu et al.•ARTICLE•Land Degradation and Development•2025

    Accurate mapping soil organic carbon (SOC) in high‐standard farmland (HSF) construction areas is essential for optimizing agricultural management practices and achieving carbon sequestration. However, how to quantify the construction activities of HSF and predict SOC is still unclear. In this study, we proposed a framework to quantify the impacts of HSF construction activities on SOC from four perspectives: landscape pattern, agricultural infrast…

Agricultural engineering (1 obra) · Algorithm (1 obra) · Artificial Intelligence (1 obra) · Computer Science (1 obra) · Econometrics (1 obra) · Engineering (1 obra) · Environmental Science (1 obra) · Geochemistry and Geologic Mapping (1 obra) · Mathematics (1 obra) · Soil and Land Suitability Analysis (1 obra)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae