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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
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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: 08 out. 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 out. 08 ] 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 out. 08 ] Available from: https://doi.org/g/10.3390/agriengineering6020053
Artigo de periodico
Spatial variability mapping of indaziflam and metribuzin sorption–desorption for precision weed control (2024)
Lima, Alessandro da Costa; Wei, Marcelo Chan Fu ; Laube, Ana Flávia Souza; Alcántara-de la Cruz, Ricardo ; Freitas, Francisco Cláudio Lopes de; Silva, Antônio Alberto da; Mendes, Kassio Ferreira
Source: Precision Agriculture. Unidade: ESALQ
Subjects: AGRICULTURA DE PRECISÃO, HERBICIDAS, PLANTAS DANINHAS, SISTEMA DE INFORMAÇÃO GEOGRÁFICA, SOLOS, VARIABILIDADE ESPACIAL
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LIMA, Alessandro da Costa et al. Spatial variability mapping of indaziflam and metribuzin sorption–desorption for precision weed control. Precision Agriculture, v. 25, p. 30–50, 2024Tradução . . Disponível em: https://doi.org/10.1007/s11119-023-10056-2. Acesso em: 08 out. 2024.
APA
Lima, A. da C., Wei, M. C. F., Laube, A. F. S., Alcántara-de la Cruz, R., Freitas, F. C. L. de, Silva, A. A. da, & Mendes, K. F. (2024). Spatial variability mapping of indaziflam and metribuzin sorption–desorption for precision weed control. Precision Agriculture, 25, 30–50. doi:10.1007/s11119-023-10056-2
NLM
Lima A da C, Wei MCF, Laube AFS, Alcántara-de la Cruz R, Freitas FCL de, Silva AA da, Mendes KF. Spatial variability mapping of indaziflam and metribuzin sorption–desorption for precision weed control [Internet]. Precision Agriculture. 2024 ; 25 30–50.[citado 2024 out. 08 ] Available from: https://doi.org/10.1007/s11119-023-10056-2
Vancouver
Lima A da C, Wei MCF, Laube AFS, Alcántara-de la Cruz R, Freitas FCL de, Silva AA da, Mendes KF. Spatial variability mapping of indaziflam and metribuzin sorption–desorption for precision weed control [Internet]. Precision Agriculture. 2024 ; 25 30–50.[citado 2024 out. 08 ] Available from: https://doi.org/10.1007/s11119-023-10056-2
Artigo de periodico
Soil attributes mapping with online near-infrared spectroscopy requires spatio-temporal local calibrations (2023)
Canal Filho, Ricardo ; Molin, José Paulo ; Wei, Marcelo Chan Fu ; Silva, Eudocio Rafael Otavio da
Source: AgriEngineering. Unidade: ESALQ
Subjects: AGRICULTURA DE PRECISÃO, APRENDIZADO COMPUTACIONAL, ESPECTROSCOPIA INFRAVERMELHA, MANEJO DO SOLO, MAPEAMENTO DO SOLO, VARIABILIDADE ESPACIAL
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CANAL FILHO, Ricardo et al. Soil attributes mapping with online near-infrared spectroscopy requires spatio-temporal local calibrations. AgriEngineering, v. 5, p. 1163–1177, 2023Tradução . . Disponível em: https://doi.org/10.3390/agriengineering5030074. Acesso em: 08 out. 2024.
APA
Canal Filho, R., Molin, J. P., Wei, M. C. F., & Silva, E. R. O. da. (2023). Soil attributes mapping with online near-infrared spectroscopy requires spatio-temporal local calibrations. AgriEngineering, 5, 1163–1177. doi:10.3390/agriengineering5030074
NLM
Canal Filho R, Molin JP, Wei MCF, Silva ERO da. Soil attributes mapping with online near-infrared spectroscopy requires spatio-temporal local calibrations [Internet]. AgriEngineering. 2023 ; 5 1163–1177.[citado 2024 out. 08 ] Available from: https://doi.org/10.3390/agriengineering5030074
Vancouver
Canal Filho R, Molin JP, Wei MCF, Silva ERO da. Soil attributes mapping with online near-infrared spectroscopy requires spatio-temporal local calibrations [Internet]. AgriEngineering. 2023 ; 5 1163–1177.[citado 2024 out. 08 ] Available from: https://doi.org/10.3390/agriengineering5030074
Artigo de periodico
Dimensionality reduction statistical models for soil attribute prediction based on raw spectral data (2022)
Wei, Marcelo Chan Fu ; Canal Filho, Ricardo ; Tavares, Tiago Rodrigues ; Molin, José Paulo ; Vieira, Afrânio Márcio Corrêa
Source: AI. Unidades: ESALQ, CENA
Subjects: ANÁLISE MULTIVARIADA, ESPECTROSCOPIA, FLUORESCÊNCIA, RAIOS X, INFRAVERMELHO, MODELOS MATEMÁTICOS, SOLOS
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ABNT
WEI, Marcelo Chan Fu et al. Dimensionality reduction statistical models for soil attribute prediction based on raw spectral data. AI, v. 3, p. 809-819, 2022Tradução . . Disponível em: https://doi.org/10.3390/ai3040049. Acesso em: 08 out. 2024.
APA
Wei, M. C. F., Canal Filho, R., Tavares, T. R., Molin, J. P., & Vieira, A. M. C. (2022). Dimensionality reduction statistical models for soil attribute prediction based on raw spectral data. AI, 3, 809-819. doi:10.3390/ai3040049
NLM
Wei MCF, Canal Filho R, Tavares TR, Molin JP, Vieira AMC. Dimensionality reduction statistical models for soil attribute prediction based on raw spectral data [Internet]. AI. 2022 ; 3 809-819.[citado 2024 out. 08 ] Available from: https://doi.org/10.3390/ai3040049
Vancouver
Wei MCF, Canal Filho R, Tavares TR, Molin JP, Vieira AMC. Dimensionality reduction statistical models for soil attribute prediction based on raw spectral data [Internet]. AI. 2022 ; 3 809-819.[citado 2024 out. 08 ] Available from: https://doi.org/10.3390/ai3040049
Artigo de periodico
Coffee-yield estimation using high-resolution time-series satellite images and machine learning (2022)
Martello, Maurício ; Molin, José Paulo ; Wei, Marcelo Chan Fu ; Canal Filho, Ricardo ; Nicoletti, João Vitor Moreira
Source: AgriEngineering. Unidades: ESALQ, ICMC
Subjects: AGRICULTURA DE PRECISÃO, ANÁLISE DE SÉRIES TEMPORAIS, APRENDIZADO COMPUTACIONAL, CAFÉ, IMAGEAMENTO DE SATÉLITE, SENSORIAMENTO REMOTO
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ABNT
MARTELLO, Maurício et al. Coffee-yield estimation using high-resolution time-series satellite images and machine learning. AgriEngineering, v. 4, p. 888-902, 2022Tradução . . Disponível em: https://doi.org/10.3390/agriengineering4040057. Acesso em: 08 out. 2024.
APA
Martello, M., Molin, J. P., Wei, M. C. F., Canal Filho, R., & Nicoletti, J. V. M. (2022). Coffee-yield estimation using high-resolution time-series satellite images and machine learning. AgriEngineering, 4, 888-902. doi:10.3390/agriengineering4040057
NLM
Martello M, Molin JP, Wei MCF, Canal Filho R, Nicoletti JVM. Coffee-yield estimation using high-resolution time-series satellite images and machine learning [Internet]. AgriEngineering. 2022 ; 4 888-902.[citado 2024 out. 08 ] Available from: https://doi.org/10.3390/agriengineering4040057
Vancouver
Martello M, Molin JP, Wei MCF, Canal Filho R, Nicoletti JVM. Coffee-yield estimation using high-resolution time-series satellite images and machine learning [Internet]. AgriEngineering. 2022 ; 4 888-902.[citado 2024 out. 08 ] Available from: https://doi.org/10.3390/agriengineering4040057
Dissertação (Mestrado)
Towards a new approach to estimate soybean yield at the field level (2021)
Wei, Marcelo Chan Fu; Molin, Jose Paulo (Orientador)
Unidade: ESALQ
Subjects: AGRICULTURA DE PRECISÃO, MODELOS MATEMÁTICOS, PROCESSAMENTO DE IMAGENS, REGRESSÃO LINEAR, SOJA
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ABNT
WEI, Marcelo Chan Fu. Towards a new approach to estimate soybean yield at the field level. 2021. Dissertação (Mestrado) – Universidade de São Paulo, Piracicaba, 2021. Disponível em: https://www.teses.usp.br/teses/disponiveis/11/11152/tde-12022021-120048/. Acesso em: 08 out. 2024.
APA
Wei, M. C. F. (2021). Towards a new approach to estimate soybean yield at the field level (Dissertação (Mestrado). Universidade de São Paulo, Piracicaba. Recuperado de https://www.teses.usp.br/teses/disponiveis/11/11152/tde-12022021-120048/
NLM
Wei MCF. Towards a new approach to estimate soybean yield at the field level [Internet]. 2021 ;[citado 2024 out. 08 ] Available from: https://www.teses.usp.br/teses/disponiveis/11/11152/tde-12022021-120048/
Vancouver
Wei MCF. Towards a new approach to estimate soybean yield at the field level [Internet]. 2021 ;[citado 2024 out. 08 ] Available from: https://www.teses.usp.br/teses/disponiveis/11/11152/tde-12022021-120048/
Artigo de periodico
Spatial distribution of sorption and desorption process of 14C- radiolabelled hexazinone and tebuthiuron in tropical soil (2021)
Mendes, Kassio Ferreira ; Wei, Marcelo Chan Fu ; Furtado, Ivan Ferreira ; Takeshita, Vanessa ; Pissolito, João Pedro ; Molin, Jose Paulo ; Tornisielo, Valdemar Luiz
Source: Chemosphere. Unidades: ESALQ, CENA
Subjects: AGRICULTURA DE PRECISÃO, CARBONO 14, DISTRIBUIÇÃO ESPACIAL, HERBICIDAS, PLANTAS DANINHAS, SOLO TROPICAL
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ABNT
MENDES, Kassio Ferreira et al. Spatial distribution of sorption and desorption process of 14C- radiolabelled hexazinone and tebuthiuron in tropical soil. Chemosphere, v. 264, p. 1-11, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.chemosphere.2020.128494. Acesso em: 08 out. 2024.
APA
Mendes, K. F., Wei, M. C. F., Furtado, I. F., Takeshita, V., Pissolito, J. P., Molin, J. P., & Tornisielo, V. L. (2021). Spatial distribution of sorption and desorption process of 14C- radiolabelled hexazinone and tebuthiuron in tropical soil. Chemosphere, 264, 1-11. doi:10.1016/j.chemosphere.2020.128494
NLM
Mendes KF, Wei MCF, Furtado IF, Takeshita V, Pissolito JP, Molin JP, Tornisielo VL. Spatial distribution of sorption and desorption process of 14C- radiolabelled hexazinone and tebuthiuron in tropical soil [Internet]. Chemosphere. 2021 ; 264 1-11.[citado 2024 out. 08 ] Available from: https://doi.org/10.1016/j.chemosphere.2020.128494
Vancouver
Mendes KF, Wei MCF, Furtado IF, Takeshita V, Pissolito JP, Molin JP, Tornisielo VL. Spatial distribution of sorption and desorption process of 14C- radiolabelled hexazinone and tebuthiuron in tropical soil [Internet]. Chemosphere. 2021 ; 264 1-11.[citado 2024 out. 08 ] Available from: https://doi.org/10.1016/j.chemosphere.2020.128494
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
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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: 08 out. 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 out. 08 ] 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 out. 08 ] Available from: https://doi.org/10.3390/rs13020232
Artigo de periodico
Near-infrared spectroscopy as a tool for monitoring the spatial variability of sugarcane quality in the fields (2021)
Corrêdo, Lucas de Paula ; Wei,Marcelo Chan Fu ; Ferraz, Marcos N; Molin, José Paulo
Source: Biosystems Engineering. Unidade: ESALQ
Subjects: AGRICULTURA DE PRECISÃO, CANA-DE-AÇÚCAR, ESPECTROSCOPIA INFRAVERMELHA, QUIMIOMETRIA, VARIABILIDADE ESPACIAL
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ABNT
CORRÊDO, Lucas de Paula et al. Near-infrared spectroscopy as a tool for monitoring the spatial variability of sugarcane quality in the fields. Biosystems Engineering, v. 206, p. 150-161, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.biosystemseng.2021.04.001. Acesso em: 08 out. 2024.
APA
Corrêdo, L. de P., Wei, M. C. F., Ferraz, M. N., & Molin, J. P. (2021). Near-infrared spectroscopy as a tool for monitoring the spatial variability of sugarcane quality in the fields. Biosystems Engineering, 206, 150-161. doi:10.1016/j.biosystemseng.2021.04.001
NLM
Corrêdo L de P, Wei MCF, Ferraz MN, Molin JP. Near-infrared spectroscopy as a tool for monitoring the spatial variability of sugarcane quality in the fields [Internet]. Biosystems Engineering. 2021 ; 206 150-161.[citado 2024 out. 08 ] Available from: https://doi.org/10.1016/j.biosystemseng.2021.04.001
Vancouver
Corrêdo L de P, Wei MCF, Ferraz MN, Molin JP. Near-infrared spectroscopy as a tool for monitoring the spatial variability of sugarcane quality in the fields [Internet]. Biosystems Engineering. 2021 ; 206 150-161.[citado 2024 out. 08 ] Available from: https://doi.org/10.1016/j.biosystemseng.2021.04.001
Artigo de periodico
Soybean Yield Estimation and Its Components: A Linear Regression Approach (2020)
Wei, Marcelo Chan Fu ; Molin, José Paulo
Source: Agriculture. Unidade: ESALQ
Subjects: AGRICULTURA DE PRECISÃO, APRENDIZADO COMPUTACIONAL, MODELOS MATEMÁTICOS, REGRESSÃO LINEAR, SOJA
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ABNT
WEI, Marcelo Chan Fu e MOLIN, José Paulo. Soybean Yield Estimation and Its Components: A Linear Regression Approach. Agriculture, v. 10, p. 1-13, 2020Tradução . . Disponível em: https://doi.org/10.3390/agriculture10080348. Acesso em: 08 out. 2024.
APA
Wei, M. C. F., & Molin, J. P. (2020). Soybean Yield Estimation and Its Components: A Linear Regression Approach. Agriculture, 10, 1-13. doi:10.3390/agriculture10080348
NLM
Wei MCF, Molin JP. Soybean Yield Estimation and Its Components: A Linear Regression Approach [Internet]. Agriculture. 2020 ; 10 1-13.[citado 2024 out. 08 ] Available from: https://doi.org/10.3390/agriculture10080348
Vancouver
Wei MCF, Molin JP. Soybean Yield Estimation and Its Components: A Linear Regression Approach [Internet]. Agriculture. 2020 ; 10 1-13.[citado 2024 out. 08 ] Available from: https://doi.org/10.3390/agriculture10080348
Artigo de periodico
Carrot yield mapping: a precision agriculture approach based on machine learning (2020)
Wei, Marcelo Chan Fu ; Maldaner, Leonardo Felipe ; Ottoni, Pedro Medeiros Netto; Molin, José Paulo
Source: AI. Unidade: ESALQ
Subjects: AGRICULTURA DE PRECISÃO, APRENDIZADO COMPUTACIONAL, CENOURA, IMAGEAMENTO DE SATÉLITE, MAPAS, SENSORIAMENTO REMOTO
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ABNT
WEI, Marcelo Chan Fu et al. Carrot yield mapping: a precision agriculture approach based on machine learning. AI, v. 1, n. 2, p. 229-241, 2020Tradução . . Disponível em: https://doi.org/10.3390/ai1020015. Acesso em: 08 out. 2024.
APA
Wei, M. C. F., Maldaner, L. F., Ottoni, P. M. N., & Molin, J. P. (2020). Carrot yield mapping: a precision agriculture approach based on machine learning. AI, 1( 2), 229-241. doi:10.3390/ai1020015
NLM
Wei MCF, Maldaner LF, Ottoni PMN, Molin JP. Carrot yield mapping: a precision agriculture approach based on machine learning [Internet]. AI. 2020 ; 1( 2): 229-241.[citado 2024 out. 08 ] Available from: https://doi.org/10.3390/ai1020015
Vancouver
Wei MCF, Maldaner LF, Ottoni PMN, Molin JP. Carrot yield mapping: a precision agriculture approach based on machine learning [Internet]. AI. 2020 ; 1( 2): 229-241.[citado 2024 out. 08 ] Available from: https://doi.org/10.3390/ai1020015
Artigo de periodico
Pendulum-action spreader for lime application (2020)
Duarte, Cassio da Costa; Molin, José Paulo ; Wei, Marcelo Chan Fu ; Santos, Pedro Henrique
Source: Brazilian Journal of Development. Unidade: ESALQ
Subjects: ACIDEZ DO SOLO, CALCÁRIO, CALAGEM, EQUIPAMENTOS AGRÍCOLAS
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ABNT
DUARTE, Cassio da Costa et al. Pendulum-action spreader for lime application. Brazilian Journal of Development, v. 6, n. Ju 2020, p. 41211-42222, 2020Tradução . . Disponível em: https://doi.org/10.34117/bjdv6n6-601. Acesso em: 08 out. 2024.
APA
Duarte, C. da C., Molin, J. P., Wei, M. C. F., & Santos, P. H. (2020). Pendulum-action spreader for lime application. Brazilian Journal of Development, 6( Ju 2020), 41211-42222. doi:10.34117/bjdv6n6-601
NLM
Duarte C da C, Molin JP, Wei MCF, Santos PH. Pendulum-action spreader for lime application [Internet]. Brazilian Journal of Development. 2020 ; 6( Ju 2020): 41211-42222.[citado 2024 out. 08 ] Available from: https://doi.org/10.34117/bjdv6n6-601
Vancouver
Duarte C da C, Molin JP, Wei MCF, Santos PH. Pendulum-action spreader for lime application [Internet]. Brazilian Journal of Development. 2020 ; 6( Ju 2020): 41211-42222.[citado 2024 out. 08 ] Available from: https://doi.org/10.34117/bjdv6n6-601
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: 08 out. 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 out. 08 ] 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 out. 08 ] 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: 08 out. 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 out. 08 ] 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 out. 08 ] Available from: https://doi.org/10.1590/1809-4430-Eng.Agric.v39nep109-117/2019

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