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Filtros : "BIOMASSA" "Financiamento FINEP" Removidos: "Indexado no PubMed" "Reino Unido" "2006" "TABAK, MARCEL" "Financiamento CAPES" Limpar

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  • Artigo de periodico

    Integration of ultrasonic and optical sensing systems to assess sugarcane biomass and N-uptake (2024)

    Portz, Gustavo; Molin, José Paulo ; Canata, Tatiana Fernanda ; Adamchuk, V. L

    Source: Precision Agriculture. Unidade: ESALQ

    Subjects: BIOMASSA, CANA-DE-AÇÚCAR, DOSSEL (BOTÂNICA), FERTILIZANTES NITROGENADOS, NITROGÊNIO, SENSORIAMENTO REMOTO

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

    • ABNT

      PORTZ, Gustavo et al. Integration of ultrasonic and optical sensing systems to assess sugarcane biomass and N-uptake. Precision Agriculture, v. 25, p. 83–99, 2024Tradução . . Disponível em: https://doi.org/10.1007/s11119-023-10059-z. Acesso em: 23 jun. 2024.

    • APA

      Portz, G., Molin, J. P., Canata, T. F., & Adamchuk, V. L. (2024). Integration of ultrasonic and optical sensing systems to assess sugarcane biomass and N-uptake. Precision Agriculture, 25, 83–99. doi:10.1007/s11119-023-10059-z

    • NLM

      Portz G, Molin JP, Canata TF, Adamchuk VL. Integration of ultrasonic and optical sensing systems to assess sugarcane biomass and N-uptake [Internet]. Precision Agriculture. 2024 ; 25 83–99.[citado 2024 jun. 23 ] Available from: https://doi.org/10.1007/s11119-023-10059-z

    • Vancouver

      Portz G, Molin JP, Canata TF, Adamchuk VL. Integration of ultrasonic and optical sensing systems to assess sugarcane biomass and N-uptake [Internet]. Precision Agriculture. 2024 ; 25 83–99.[citado 2024 jun. 23 ] Available from: https://doi.org/10.1007/s11119-023-10059-z

  • Artigo de periodico

    Phylogenetic characterization and quantification by Most Probable Number of the microbial communities of biomass from the Upflow Anaerobic Sludge Blanket Reactor under sulfidogenic conditions (2019)

    Sakamoto, Isabel Kimiko ; Maintinguer, Sandra Imaculada; Silva, Maria Bernadete Amancio Varesche

    Source: Acta Scientiarum. Technology. Unidade: EESC

    Subjects: BIOMASSA, BACTÉRIAS ANAERÓBICAS, REATORES ANAERÓBIOS

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

    • ABNT

      SAKAMOTO, Isabel Kimiko e MAINTINGUER, Sandra Imaculada e SILVA, Maria Bernadete Amancio Varesche. Phylogenetic characterization and quantification by Most Probable Number of the microbial communities of biomass from the Upflow Anaerobic Sludge Blanket Reactor under sulfidogenic conditions. Acta Scientiarum. Technology, v. 41, 2019Tradução . . Disponível em: https://doi.org/10.4025/actascitechnol.v41i1.39128. Acesso em: 23 jun. 2024.

    • APA

      Sakamoto, I. K., Maintinguer, S. I., & Silva, M. B. A. V. (2019). Phylogenetic characterization and quantification by Most Probable Number of the microbial communities of biomass from the Upflow Anaerobic Sludge Blanket Reactor under sulfidogenic conditions. Acta Scientiarum. Technology, 41. doi:10.4025/actascitechnol.v41i1.39128

    • NLM

      Sakamoto IK, Maintinguer SI, Silva MBAV. Phylogenetic characterization and quantification by Most Probable Number of the microbial communities of biomass from the Upflow Anaerobic Sludge Blanket Reactor under sulfidogenic conditions [Internet]. Acta Scientiarum. Technology. 2019 ; 41[citado 2024 jun. 23 ] Available from: https://doi.org/10.4025/actascitechnol.v41i1.39128

    • Vancouver

      Sakamoto IK, Maintinguer SI, Silva MBAV. Phylogenetic characterization and quantification by Most Probable Number of the microbial communities of biomass from the Upflow Anaerobic Sludge Blanket Reactor under sulfidogenic conditions [Internet]. Acta Scientiarum. Technology. 2019 ; 41[citado 2024 jun. 23 ] Available from: https://doi.org/10.4025/actascitechnol.v41i1.39128
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