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Artigo de periodico
Challenges of digital solutions in sugarcane crop production: a review (2024)
Molin, José Paulo ; Wei, Marcelo Chan Fu ; Silva, Eudocio Rafael Otavio da
Source: AgriEngineering. Unidade: ESALQ
Subjects: AGRICULTURA DE PRECISÃO, CANA-DE-AÇÚCAR, MECANIZAÇÃO AGRÍCOLA, TECNOLOGIA DA COMUNICAÇÃO, TECNOLOGIA DA INFORMAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOLIN, José Paulo e WEI, Marcelo Chan Fu e SILVA, Eudocio Rafael Otavio da. Challenges of digital solutions in sugarcane crop production: a review. AgriEngineering, v. 6, p. 925-946, 2024Tradução . . Disponível em: https://doi.org/g/10.3390/agriengineering6020053. Acesso em: 19 set. 2024.
APA
Molin, J. P., Wei, M. C. F., & Silva, E. R. O. da. (2024). Challenges of digital solutions in sugarcane crop production: a review. AgriEngineering, 6, 925-946. doi:g/10.3390/agriengineering6020053
NLM
Molin JP, Wei MCF, Silva ERO da. Challenges of digital solutions in sugarcane crop production: a review [Internet]. AgriEngineering. 2024 ; 6 925-946.[citado 2024 set. 19 ] Available from: https://doi.org/g/10.3390/agriengineering6020053
Vancouver
Molin JP, Wei MCF, Silva ERO da. Challenges of digital solutions in sugarcane crop production: a review [Internet]. AgriEngineering. 2024 ; 6 925-946.[citado 2024 set. 19 ] Available from: https://doi.org/g/10.3390/agriengineering6020053
Artigo de periodico
Sugarcane Yield Mapping Using High-Resolution Imagery Data and Machine Learning Technique (2021)
Canata, Tatiana Fernanda ; Wei, Marcelo Chan Fu ; Maldaner, Leonardo Felipe ; Molin, José Paulo
Source: Remote Sensing. Unidade: ESALQ
Subjects: AGRICULTURA DE PRECISÃO, APRENDIZADO COMPUTACIONAL, CANA-DE-AÇÚCAR, IMAGEAMENTO DE SATÉLITE, SENSORIAMENTO REMOTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CANATA, Tatiana Fernanda et al. Sugarcane Yield Mapping Using High-Resolution Imagery Data and Machine Learning Technique. Remote Sensing, v. 13, p. 1-14, 2021Tradução . . Disponível em: https://doi.org/10.3390/rs13020232. Acesso em: 19 set. 2024.
APA
Canata, T. F., Wei, M. C. F., Maldaner, L. F., & Molin, J. P. (2021). Sugarcane Yield Mapping Using High-Resolution Imagery Data and Machine Learning Technique. Remote Sensing, 13, 1-14. doi:10.3390/rs13020232
NLM
Canata TF, Wei MCF, Maldaner LF, Molin JP. Sugarcane Yield Mapping Using High-Resolution Imagery Data and Machine Learning Technique [Internet]. Remote Sensing. 2021 ; 13 1-14.[citado 2024 set. 19 ] Available from: https://doi.org/10.3390/rs13020232
Vancouver
Canata TF, Wei MCF, Maldaner LF, Molin JP. Sugarcane Yield Mapping Using High-Resolution Imagery Data and Machine Learning Technique [Internet]. Remote Sensing. 2021 ; 13 1-14.[citado 2024 set. 19 ] Available from: https://doi.org/10.3390/rs13020232
Artigo de periodico
Energy analysis of sugarcane potential ethanol production from published data: a case study in Campos de Goytacazes – Brazil (2020)
Wei, Marcelo Chan Fu ; Romanelli, Thiago Libório ; Molin, José Paulo
Source: Agricultural Engineering International: CIGR Journal. Unidade: ESALQ
Subjects: ADUBO VERDE, AGRICULTURA SUSTENTÁVEL, BALANÇO DE ENERGIA, BIOENERGIA, CANA-DE-AÇÚCAR, ETANOL, PLANTIO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
WEI, Marcelo Chan Fu e ROMANELLI, Thiago Libório e MOLIN, José Paulo. Energy analysis of sugarcane potential ethanol production from published data: a case study in Campos de Goytacazes – Brazil. Agricultural Engineering International: CIGR Journal, v. 22, n. 4, p. 110-118, 2020Tradução . . Disponível em: file:///C:/Users/46680/Desktop/5973-Article%Text-29673-1-10-20201225.pdf. Acesso em: 19 set. 2024.
APA
Wei, M. C. F., Romanelli, T. L., & Molin, J. P. (2020). Energy analysis of sugarcane potential ethanol production from published data: a case study in Campos de Goytacazes – Brazil. Agricultural Engineering International: CIGR Journal, 22( 4), 110-118. Recuperado de file:///C:/Users/46680/Desktop/5973-Article%Text-29673-1-10-20201225.pdf
NLM
Wei MCF, Romanelli TL, Molin JP. Energy analysis of sugarcane potential ethanol production from published data: a case study in Campos de Goytacazes – Brazil [Internet]. Agricultural Engineering International: CIGR Journal. 2020 ; 22( 4): 110-118.[citado 2024 set. 19 ] Available from: file:///C:/Users/46680/Desktop/5973-Article%Text-29673-1-10-20201225.pdf
Vancouver
Wei MCF, Romanelli TL, Molin JP. Energy analysis of sugarcane potential ethanol production from published data: a case study in Campos de Goytacazes – Brazil [Internet]. Agricultural Engineering International: CIGR Journal. 2020 ; 22( 4): 110-118.[citado 2024 set. 19 ] Available from: file:///C:/Users/46680/Desktop/5973-Article%Text-29673-1-10-20201225.pdf
Artigo de periodico
Spatial variability mapping of sugarcane qualitative attributes (2019)
Ferraz, Marcos N; Corrêdo, Lucas de Paula ; Wei, Marcelo Chan Fu ; Molin, José Paulo
Source: Engenharia Agrícola. Unidade: ESALQ
Subjects: CANA-DE-AÇÚCAR, MAPEAMENTO DO SOLO, SACAROSE, VARIABILIDADE ESPACIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERRAZ, Marcos N et al. Spatial variability mapping of sugarcane qualitative attributes. Engenharia Agrícola, v. 39, p. 109-117, 2019Tradução . . Disponível em: https://doi.org/10.1590/1809-4430-Eng.Agric.v39nep109-117/2019. Acesso em: 19 set. 2024.
APA
Ferraz, M. N., Corrêdo, L. de P., Wei, M. C. F., & Molin, J. P. (2019). Spatial variability mapping of sugarcane qualitative attributes. Engenharia Agrícola, 39, 109-117. doi:10.1590/1809-4430-Eng.Agric.v39nep109-117/2019
NLM
Ferraz MN, Corrêdo L de P, Wei MCF, Molin JP. Spatial variability mapping of sugarcane qualitative attributes [Internet]. Engenharia Agrícola. 2019 ; 39 109-117.[citado 2024 set. 19 ] Available from: https://doi.org/10.1590/1809-4430-Eng.Agric.v39nep109-117/2019
Vancouver
Ferraz MN, Corrêdo L de P, Wei MCF, Molin JP. Spatial variability mapping of sugarcane qualitative attributes [Internet]. Engenharia Agrícola. 2019 ; 39 109-117.[citado 2024 set. 19 ] Available from: https://doi.org/10.1590/1809-4430-Eng.Agric.v39nep109-117/2019

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