Menu

Filtros : "Computers and Electronics in Agriculture" "Financiado pelo CNPq" Limpar

Filtros

Refine with date range

  • 1

1 - 4 (4 records)

  • Artigo de periodico

    Parameterizing field capacity as the upper limit of available water in bucket-type hydrological models (2022)

    Turek, Maria Eliza ; De Jong Van Lier, Quirijn ; Armindo, Robson André

    Source: Computers and Electronics in Agriculture. Unidade: CENA

    Subjects: ANÁLISE EM FLUXO CONTÍNUO, ÁGUA DO SOLO, CRESCIMENTO VEGETAL, PRODUÇÃO AGRÍCOLA

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      TUREK, Maria Eliza e DE JONG VAN LIER, Quirijn e ARMINDO, Robson André. Parameterizing field capacity as the upper limit of available water in bucket-type hydrological models. Computers and Electronics in Agriculture, v. 194, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2022.106801. Acesso em: 15 nov. 2025.

    • APA

      Turek, M. E., De Jong Van Lier, Q., & Armindo, R. A. (2022). Parameterizing field capacity as the upper limit of available water in bucket-type hydrological models. Computers and Electronics in Agriculture, 194. doi:10.1016/j.compag.2022.106801

    • NLM

      Turek ME, De Jong Van Lier Q, Armindo RA. Parameterizing field capacity as the upper limit of available water in bucket-type hydrological models [Internet]. Computers and Electronics in Agriculture. 2022 ; 194[citado 2025 nov. 15 ] Available from: https://doi.org/10.1016/j.compag.2022.106801

    • Vancouver

      Turek ME, De Jong Van Lier Q, Armindo RA. Parameterizing field capacity as the upper limit of available water in bucket-type hydrological models [Internet]. Computers and Electronics in Agriculture. 2022 ; 194[citado 2025 nov. 15 ] Available from: https://doi.org/10.1016/j.compag.2022.106801

  • Artigo de periodico

    DropLeaf: a precision farming smartphone tool for real-time quantification of pesticide application coverage (2021)

    Machado, Bruno Brandoli ; Spadon, Gabriel ; Esau, Travis ; Hennessy, Patrick ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Amer-Yahia, Sihem ; Rodrigues Junior, José Fernando

    Source: Computers and Electronics in Agriculture. Unidade: ICMC

    Subjects: COMPUTAÇÃO MÓVEL, PROCESSAMENTO DE IMAGENS, AGRICULTURA DE PRECISÃO, PESTICIDAS

    PrivadoAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      MACHADO, Bruno Brandoli et al. DropLeaf: a precision farming smartphone tool for real-time quantification of pesticide application coverage. Computers and Electronics in Agriculture, v. 180, n. Ja 2021, p. 1-9, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2020.105906. Acesso em: 15 nov. 2025.

    • APA

      Machado, B. B., Spadon, G., Esau, T., Hennessy, P., Carvalho, A. C. P. de L. F. de, Amer-Yahia, S., & Rodrigues Junior, J. F. (2021). DropLeaf: a precision farming smartphone tool for real-time quantification of pesticide application coverage. Computers and Electronics in Agriculture, 180( Ja 2021), 1-9. doi:10.1016/j.compag.2020.105906

    • NLM

      Machado BB, Spadon G, Esau T, Hennessy P, Carvalho ACP de LF de, Amer-Yahia S, Rodrigues Junior JF. DropLeaf: a precision farming smartphone tool for real-time quantification of pesticide application coverage [Internet]. Computers and Electronics in Agriculture. 2021 ; 180( Ja 2021): 1-9.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1016/j.compag.2020.105906

    • Vancouver

      Machado BB, Spadon G, Esau T, Hennessy P, Carvalho ACP de LF de, Amer-Yahia S, Rodrigues Junior JF. DropLeaf: a precision farming smartphone tool for real-time quantification of pesticide application coverage [Internet]. Computers and Electronics in Agriculture. 2021 ; 180( Ja 2021): 1-9.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1016/j.compag.2020.105906

  • Artigo de periodico

    Evaluation of low-cost depth cameras for agricultural applications (2020)

    Condotta, Isabella Cardoso Ferreira da Silva ; Brown-Brandl, Tami M; Pitla, Santosh K; Stinn, John P; Silva-Miranda, Késia Oliveira da

    Source: Computers and Electronics in Agriculture. Unidade: ESALQ

    Subjects: ESTEREOSCOPIA, CÂMERAS FOTOGRÁFICAS, IMAGEM, LUZ, SENSOR

    Versão PublicadaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      CONDOTTA, Isabella Cardoso Ferreira da Silva et al. Evaluation of low-cost depth cameras for agricultural applications. Computers and Electronics in Agriculture, v. 173, p. 1-15, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2020.105394. Acesso em: 15 nov. 2025.

    • APA

      Condotta, I. C. F. da S., Brown-Brandl, T. M., Pitla, S. K., Stinn, J. P., & Silva-Miranda, K. O. da. (2020). Evaluation of low-cost depth cameras for agricultural applications. Computers and Electronics in Agriculture, 173, 1-15. doi:10.1016/j.compag.2020.105394

    • NLM

      Condotta ICF da S, Brown-Brandl TM, Pitla SK, Stinn JP, Silva-Miranda KO da. Evaluation of low-cost depth cameras for agricultural applications [Internet]. Computers and Electronics in Agriculture. 2020 ; 173 1-15.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1016/j.compag.2020.105394

    • Vancouver

      Condotta ICF da S, Brown-Brandl TM, Pitla SK, Stinn JP, Silva-Miranda KO da. Evaluation of low-cost depth cameras for agricultural applications [Internet]. Computers and Electronics in Agriculture. 2020 ; 173 1-15.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1016/j.compag.2020.105394

  • Artigo de periodico

    New multiple imputation methods for genotype-by-environment data that combine singular value decomposition and Jackknife resampling or weighting schemes (2020)

    Arciniegas-Alarcón, Sergio; García-Peña, Marisol; Canas Rodrigues, Paulo

    Source: Computers and Electronics in Agriculture. Unidade: ESALQ

    Subjects: INTERAÇÃO GENÓTIPO-AMBIENTE, REAMOSTRAGEM JACKKNIFE

    PrivadoAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      ARCINIEGAS-ALARCÓN, Sergio e GARCÍA-PEÑA, Marisol e CANAS RODRIGUES, Paulo. New multiple imputation methods for genotype-by-environment data that combine singular value decomposition and Jackknife resampling or weighting schemes. Computers and Electronics in Agriculture, v. 176, p. 1-8, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2020.105617. Acesso em: 15 nov. 2025.

    • APA

      Arciniegas-Alarcón, S., García-Peña, M., & Canas Rodrigues, P. (2020). New multiple imputation methods for genotype-by-environment data that combine singular value decomposition and Jackknife resampling or weighting schemes. Computers and Electronics in Agriculture, 176, 1-8. doi:10.1016/j.compag.2020.105617

    • NLM

      Arciniegas-Alarcón S, García-Peña M, Canas Rodrigues P. New multiple imputation methods for genotype-by-environment data that combine singular value decomposition and Jackknife resampling or weighting schemes [Internet]. Computers and Electronics in Agriculture. 2020 ; 176 1-8.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1016/j.compag.2020.105617

    • Vancouver

      Arciniegas-Alarcón S, García-Peña M, Canas Rodrigues P. New multiple imputation methods for genotype-by-environment data that combine singular value decomposition and Jackknife resampling or weighting schemes [Internet]. Computers and Electronics in Agriculture. 2020 ; 176 1-8.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1016/j.compag.2020.105617
  • 1

1 - 4 (4 records)

Digital Library of Intellectual Production of Universidade de São Paulo     2012 - 2025