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Filtros : "Computers and Electronics in Agriculture" "MILHO" Limpar

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  • 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

    Source: Computers and Electronics in Agriculture. Unidade: ESALQ

    Subjects: MÁQUINAS AGRÍCOLAS, MILHO, PLANTIO DIRETO, SOJA

    PrivadoAcesso à fonteDOIHow to cite
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    • ABNT

      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

  • Artigo de periodico

    Use of artificial vision techniques for diagnostic of nitrogen nutritional status in maize plants (2014)

    Romualdo, L. M.; Luz, Pedro Henrique de Cerqueira; Devechio, F. F. S.; Marin, M. A.; Zúñiga, A. M. G.; Bruno, Odemir Martinez ; Herling, Valdo Rodrigues

    Source: Computers and Electronics in Agriculture. Unidades: FZEA, IFSC

    Subjects: MILHO, NUTRIÇÃO VEGETAL, MACRONUTRIENTES, VISÃO COMPUTACIONAL

    PrivadoAcesso à fonteDOIHow to cite
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    • ABNT

      ROMUALDO, L. M. et al. Use of artificial vision techniques for diagnostic of nitrogen nutritional status in maize plants. Computers and Electronics in Agriculture, v. 104, p. 63-70, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2014.03.009. Acesso em: 15 nov. 2025.

    • APA

      Romualdo, L. M., Luz, P. H. de C., Devechio, F. F. S., Marin, M. A., Zúñiga, A. M. G., Bruno, O. M., & Herling, V. R. (2014). Use of artificial vision techniques for diagnostic of nitrogen nutritional status in maize plants. Computers and Electronics in Agriculture, 104, 63-70. doi:10.1016/j.compag.2014.03.009

    • NLM

      Romualdo LM, Luz PH de C, Devechio FFS, Marin MA, Zúñiga AMG, Bruno OM, Herling VR. Use of artificial vision techniques for diagnostic of nitrogen nutritional status in maize plants [Internet]. Computers and Electronics in Agriculture. 2014 ; 104 63-70.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1016/j.compag.2014.03.009

    • Vancouver

      Romualdo LM, Luz PH de C, Devechio FFS, Marin MA, Zúñiga AMG, Bruno OM, Herling VR. Use of artificial vision techniques for diagnostic of nitrogen nutritional status in maize plants [Internet]. Computers and Electronics in Agriculture. 2014 ; 104 63-70.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1016/j.compag.2014.03.009
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