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Filtros : "Computers and Electronics in Agriculture" "Financiado pela CAPES" Limpar

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  • 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

    Fonte: Computers and Electronics in Agriculture. Unidade: CENA

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

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    • 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

    Fonte: Computers and Electronics in Agriculture. Unidade: ICMC

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

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      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

    Detection, classification, and mapping of coffee fruits during harvest with computer vision (2021)

    Bazame, Helizani Couto ; Molin, José Paulo ; Althoff, Daniel; Martello, Maurício

    Fonte: Computers and Electronics in Agriculture. Unidade: ESALQ

    Assuntos: AGRICULTURA DE PRECISÃO, APRENDIZADO COMPUTACIONAL, CAFÉ, COLHEITA, MATURAÇÃO VEGETAL, REDES NEURAIS, VISÃO COMPUTACIONAL

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    • ABNT

      BAZAME, Helizani Couto et al. Detection, classification, and mapping of coffee fruits during harvest with computer vision. Computers and Electronics in Agriculture, v. 183, p. 1-11, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2021.106066. Acesso em: 15 nov. 2025.

    • APA

      Bazame, H. C., Molin, J. P., Althoff, D., & Martello, M. (2021). Detection, classification, and mapping of coffee fruits during harvest with computer vision. Computers and Electronics in Agriculture, 183, 1-11. doi:10.1016/j.compag.2021.106066

    • NLM

      Bazame HC, Molin JP, Althoff D, Martello M. Detection, classification, and mapping of coffee fruits during harvest with computer vision [Internet]. Computers and Electronics in Agriculture. 2021 ; 183 1-11.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1016/j.compag.2021.106066

    • Vancouver

      Bazame HC, Molin JP, Althoff D, Martello M. Detection, classification, and mapping of coffee fruits during harvest with computer vision [Internet]. Computers and Electronics in Agriculture. 2021 ; 183 1-11.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1016/j.compag.2021.106066

  • Artigo de periodico

    Use of UAVs for an efficient capsule distribution and smart path planning for biological pest control (2020)

    Vieira, Heitor de Freitas ; Faiçal, Bruno Squizato ; Silva, Alef Vinicius Cardoso e; Ueyama, Jó

    Fonte: Computers and Electronics in Agriculture. Unidade: ICMC

    Assuntos: AERONAVES NÃO TRIPULADAS, CONTROLE BIOLÓGICO, AGRICULTURA DE PRECISÃO, CUSTO DE OPERAÇÕES

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    • ABNT

      VIEIRA, Heitor de Freitas et al. Use of UAVs for an efficient capsule distribution and smart path planning for biological pest control. Computers and Electronics in Agriculture, v. 173, p. 1-10. 2020, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2020.105387. Acesso em: 15 nov. 2025.

    • APA

      Vieira, H. de F., Faiçal, B. S., Silva, A. V. C. e, & Ueyama, J. (2020). Use of UAVs for an efficient capsule distribution and smart path planning for biological pest control. Computers and Electronics in Agriculture, 173, 1-10. 2020. doi:10.1016/j.compag.2020.105387

    • NLM

      Vieira H de F, Faiçal BS, Silva AVC e, Ueyama J. Use of UAVs for an efficient capsule distribution and smart path planning for biological pest control [Internet]. Computers and Electronics in Agriculture. 2020 ; 173 1-10. 2020.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1016/j.compag.2020.105387

    • Vancouver

      Vieira H de F, Faiçal BS, Silva AVC e, Ueyama J. Use of UAVs for an efficient capsule distribution and smart path planning for biological pest control [Internet]. Computers and Electronics in Agriculture. 2020 ; 173 1-10. 2020.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1016/j.compag.2020.105387

  • 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

    Fonte: Computers and Electronics in Agriculture. Unidade: ESALQ

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

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    • 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

    Infrared thermography as a non-invasive method for the evaluation of heat stress in pigs kept in pens free of cages in the maternity (2019)

    Ricci, Gisele Dela; Silva-Miranda, Késia Oliveira da; Titto, Cristiane Gonçalves

    Fonte: Computers and Electronics in Agriculture. Unidades: ESALQ, FZEA

    Assuntos: CORTISOL, ESTRESSE, SUÍNOS, TEMPERATURA, TERMOGRAFIA

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      RICCI, Gisele Dela e SILVA-MIRANDA, Késia Oliveira da e TITTO, Cristiane Gonçalves. Infrared thermography as a non-invasive method for the evaluation of heat stress in pigs kept in pens free of cages in the maternity. Computers and Electronics in Agriculture, v. 157, p. 403-409, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2019.01.017. Acesso em: 15 nov. 2025.

    • APA

      Ricci, G. D., Silva-Miranda, K. O. da, & Titto, C. G. (2019). Infrared thermography as a non-invasive method for the evaluation of heat stress in pigs kept in pens free of cages in the maternity. Computers and Electronics in Agriculture, 157, 403-409. doi:10.1016/j.compag.2019.01.017

    • NLM

      Ricci GD, Silva-Miranda KO da, Titto CG. Infrared thermography as a non-invasive method for the evaluation of heat stress in pigs kept in pens free of cages in the maternity [Internet]. Computers and Electronics in Agriculture. 2019 ; 157 403-409.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1016/j.compag.2019.01.017

    • Vancouver

      Ricci GD, Silva-Miranda KO da, Titto CG. Infrared thermography as a non-invasive method for the evaluation of heat stress in pigs kept in pens free of cages in the maternity [Internet]. Computers and Electronics in Agriculture. 2019 ; 157 403-409.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1016/j.compag.2019.01.017

  • Artigo de periodico

    Modeling cost and energy demand in agricultural machinery fleets for soybean and maize cultivated using a no-tillage system (2019)

    Tieppo, Rafael Cesar ; Romanelli, Thiago Libório; Milan, Marcos; Sørensen, Claus Aage Grøn; Bochtis, Dionysis

    Fonte: Computers and Electronics in Agriculture. Unidade: ESALQ

    Assuntos: MÁQUINAS AGRÍCOLAS, MILHO, PLANTIO DIRETO, SOJA

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      TIEPPO, Rafael Cesar et al. Modeling cost and energy demand in agricultural machinery fleets for soybean and maize cultivated using a no-tillage system. Computers and Electronics in Agriculture, v. 156, p. 282-292, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2018.11.032. Acesso em: 15 nov. 2025.

    • APA

      Tieppo, R. C., Romanelli, T. L., Milan, M., Sørensen, C. A. G., & Bochtis, D. (2019). Modeling cost and energy demand in agricultural machinery fleets for soybean and maize cultivated using a no-tillage system. Computers and Electronics in Agriculture, 156, 282-292. doi:10.1016/j.compag.2018.11.032

    • NLM

      Tieppo RC, Romanelli TL, Milan M, Sørensen CAG, Bochtis D. Modeling cost and energy demand in agricultural machinery fleets for soybean and maize cultivated using a no-tillage system [Internet]. Computers and Electronics in Agriculture. 2019 ; 156 282-292.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1016/j.compag.2018.11.032

    • Vancouver

      Tieppo RC, Romanelli TL, Milan M, Sørensen CAG, Bochtis D. Modeling cost and energy demand in agricultural machinery fleets for soybean and maize cultivated using a no-tillage system [Internet]. Computers and Electronics in Agriculture. 2019 ; 156 282-292.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1016/j.compag.2018.11.032
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