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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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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: 12 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. 12 ] 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. 12 ] Available from: https://doi.org/g/10.3390/agriengineering6020053
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
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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: 12 out. 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 out. 12 ] 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 out. 12 ] Available from: https://doi.org/10.1007/s11119-023-10059-z
Artigo de periodico
An Approach to Sugarcane Yield Estimation Using Sensors in the Harvester and ZigBee Technology (2022)
Maldaner, Leonardo Felipe ; Canata, Tatiana Fernanda ; Molin, José Paulo
Source: Sugar Tech. Unidade: ESALQ
Subjects: AGRICULTURA DE PRECISÃO, CANA-DE-AÇÚCAR, COLHEDORAS, PROTOCOLOS DE COMUNICAÇÃO, SENSOR, TELEMETRIA
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MALDANER, Leonardo Felipe e CANATA, Tatiana Fernanda e MOLIN, José Paulo. An Approach to Sugarcane Yield Estimation Using Sensors in the Harvester and ZigBee Technology. Sugar Tech, v. 24, n. 3, p. 813-821, 2022Tradução . . Disponível em: https://doi.org/10.1007/s12355-021-01050-x. Acesso em: 12 out. 2024.
APA
Maldaner, L. F., Canata, T. F., & Molin, J. P. (2022). An Approach to Sugarcane Yield Estimation Using Sensors in the Harvester and ZigBee Technology. Sugar Tech, 24( 3), 813-821. doi:10.1007/s12355-021-01050-x
NLM
Maldaner LF, Canata TF, Molin JP. An Approach to Sugarcane Yield Estimation Using Sensors in the Harvester and ZigBee Technology [Internet]. Sugar Tech. 2022 ; 24( 3): 813-821.[citado 2024 out. 12 ] Available from: https://doi.org/10.1007/s12355-021-01050-x
Vancouver
Maldaner LF, Canata TF, Molin JP. An Approach to Sugarcane Yield Estimation Using Sensors in the Harvester and ZigBee Technology [Internet]. Sugar Tech. 2022 ; 24( 3): 813-821.[citado 2024 out. 12 ] Available from: https://doi.org/10.1007/s12355-021-01050-x
Artigo de periodico
A system for plant detection using sensor fusion approach based on machine learning model (2021)
Maldaner, Leonardo Felipe ; Molin, José Paulo ; Canata, Tatiana Fernanda ; Martello, Maurício
Source: Computers and Electronics in Agriculture. Unidade: ESALQ
Subjects: AGRICULTURA DE PRECISÃO, APRENDIZADO COMPUTACIONAL, CANA-DE-AÇÚCAR, SENSOR
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MALDANER, Leonardo Felipe et al. A system for plant detection using sensor fusion approach based on machine learning model. Computers and Electronics in Agriculture, v. 189, p. 1-11, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2021.106382. Acesso em: 12 out. 2024.
APA
Maldaner, L. F., Molin, J. P., Canata, T. F., & Martello, M. (2021). A system for plant detection using sensor fusion approach based on machine learning model. Computers and Electronics in Agriculture, 189, 1-11. doi:10.1016/j.compag.2021.106382
NLM
Maldaner LF, Molin JP, Canata TF, Martello M. A system for plant detection using sensor fusion approach based on machine learning model [Internet]. Computers and Electronics in Agriculture. 2021 ; 189 1-11.[citado 2024 out. 12 ] Available from: https://doi.org/10.1016/j.compag.2021.106382
Vancouver
Maldaner LF, Molin JP, Canata TF, Martello M. A system for plant detection using sensor fusion approach based on machine learning model [Internet]. Computers and Electronics in Agriculture. 2021 ; 189 1-11.[citado 2024 out. 12 ] Available from: https://doi.org/10.1016/j.compag.2021.106382
Artigo de periodico
Sensor fusion with NARX neural network to predict the mass flow in a sugarcane harvester (2021)
Lima, Jeovano de Jesus Alves de; Maldaner, Leonardo Felipe ; Molin, José Paulo
Source: Sensors. Unidade: ESALQ
Subjects: AGRICULTURA DE PRECISÃO, CANA-DE-AÇÚCAR, COLHEDORAS, REDES NEURAIS, SENSOR
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LIMA, Jeovano de Jesus Alves de e MALDANER, Leonardo Felipe e MOLIN, José Paulo. Sensor fusion with NARX neural network to predict the mass flow in a sugarcane harvester. Sensors, v. 21, p. 1-14, 2021Tradução . . Disponível em: https://doi.org/10.3390/s21134530. Acesso em: 12 out. 2024.
APA
Lima, J. de J. A. de, Maldaner, L. F., & Molin, J. P. (2021). Sensor fusion with NARX neural network to predict the mass flow in a sugarcane harvester. Sensors, 21, 1-14. doi:10.3390/s21134530
NLM
Lima J de JA de, Maldaner LF, Molin JP. Sensor fusion with NARX neural network to predict the mass flow in a sugarcane harvester [Internet]. Sensors. 2021 ; 21 1-14.[citado 2024 out. 12 ] Available from: https://doi.org/10.3390/s21134530
Vancouver
Lima J de JA de, Maldaner LF, Molin JP. Sensor fusion with NARX neural network to predict the mass flow in a sugarcane harvester [Internet]. Sensors. 2021 ; 21 1-14.[citado 2024 out. 12 ] Available from: https://doi.org/10.3390/s21134530
Artigo de periodico
Evaluation of Minimum Preparation Sampling Strategies for Sugarcane Quality Prediction by vis-NIR Spectroscopy (2021)
Corrêdo, Lucas de Paula ; Maldaner, Leonardo Felipe ; Bazame, Helizani Couto ; Molin, José Paulo
Source: Sensors. Unidade: ESALQ
Subjects: AGRICULTURA DE PRECISÃO, AMOSTRAGEM, CANA-DE-AÇÚCAR, ESPECTROSCOPIA INFRAVERMELHA, QUIMIOMETRIA, SENSOR
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CORRÊDO, Lucas de Paula et al. Evaluation of Minimum Preparation Sampling Strategies for Sugarcane Quality Prediction by vis-NIR Spectroscopy. Sensors, v. 21, p. 1-23, 2021Tradução . . Disponível em: https://doi.org/10.3390/s21062195. Acesso em: 12 out. 2024.
APA
Corrêdo, L. de P., Maldaner, L. F., Bazame, H. C., & Molin, J. P. (2021). Evaluation of Minimum Preparation Sampling Strategies for Sugarcane Quality Prediction by vis-NIR Spectroscopy. Sensors, 21, 1-23. doi:10.3390/s21062195
NLM
Corrêdo L de P, Maldaner LF, Bazame HC, Molin JP. Evaluation of Minimum Preparation Sampling Strategies for Sugarcane Quality Prediction by vis-NIR Spectroscopy [Internet]. Sensors. 2021 ; 21 1-23.[citado 2024 out. 12 ] Available from: https://doi.org/10.3390/s21062195
Vancouver
Corrêdo L de P, Maldaner LF, Bazame HC, Molin JP. Evaluation of Minimum Preparation Sampling Strategies for Sugarcane Quality Prediction by vis-NIR Spectroscopy [Internet]. Sensors. 2021 ; 21 1-23.[citado 2024 out. 12 ] Available from: https://doi.org/10.3390/s21062195
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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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: 12 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. 12 ] 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. 12 ] Available from: https://doi.org/10.3390/rs13020232
Artigo de periodico
Predicting the sugarcane yield in real-time by harvester engine parameters and machine learning approaches (2021)
Maldaner, Leonardo Felipe ; Corrêdo, Lucas de Paula ; Canata, Tatiana Fernanda ; Molin, José Paulo
Source: Computers and Electronics in Agriculture. Unidade: ESALQ
Subjects: AGRICULTURA DE PRECISÃO, COMPUTACIONAL, CANA-DE-AÇÚCAR, COLHEDORAS
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MALDANER, Leonardo Felipe et al. Predicting the sugarcane yield in real-time by harvester engine parameters and machine learning approaches. Computers and Electronics in Agriculture, v. 181, p. 1-9, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2020.105945. Acesso em: 12 out. 2024.
APA
Maldaner, L. F., Corrêdo, L. de P., Canata, T. F., & Molin, J. P. (2021). Predicting the sugarcane yield in real-time by harvester engine parameters and machine learning approaches. Computers and Electronics in Agriculture, 181, 1-9. doi:10.1016/j.compag.2020.105945
NLM
Maldaner LF, Corrêdo L de P, Canata TF, Molin JP. Predicting the sugarcane yield in real-time by harvester engine parameters and machine learning approaches [Internet]. Computers and Electronics in Agriculture. 2021 ; 181 1-9.[citado 2024 out. 12 ] Available from: https://doi.org/10.1016/j.compag.2020.105945
Vancouver
Maldaner LF, Corrêdo L de P, Canata TF, Molin JP. Predicting the sugarcane yield in real-time by harvester engine parameters and machine learning approaches [Internet]. Computers and Electronics in Agriculture. 2021 ; 181 1-9.[citado 2024 out. 12 ] Available from: https://doi.org/10.1016/j.compag.2020.105945
Artigo de periodico
Potential use of hyperspectral data to monitor sugarcane nitrogen status (2021)
Martins, Juliano Araujo; Fiorio, Peterson Ricardo ; Barros, Pedro Paulo da Silva; Demattê, José Alexandre Melo ; Molin, José Paulo ; Cantarella, Heitor; Neale, Christopher Michael Usher
Source: Acta Scientiarum. Agronomy. Unidade: ESALQ
Subjects: ANÁLISE ESPECTRAL, CANA-DE-AÇÚCAR, FOLHAS (PLANTAS), MODELOS MATEMÁTICOS, NITROGÊNIO, NUTRIÇÃO VEGETAL, REGRESSÃO LINEAR, SENSOR
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MARTINS, Juliano Araujo et al. Potential use of hyperspectral data to monitor sugarcane nitrogen status. Acta Scientiarum. Agronomy, v. 43, p. 1-13, 2021Tradução . . Disponível em: https://doi.org/10.4025/actasciagron.v43i1.47632. Acesso em: 12 out. 2024.
APA
Martins, J. A., Fiorio, P. R., Barros, P. P. da S., Demattê, J. A. M., Molin, J. P., Cantarella, H., & Neale, C. M. U. (2021). Potential use of hyperspectral data to monitor sugarcane nitrogen status. Acta Scientiarum. Agronomy, 43, 1-13. doi:10.4025/actasciagron.v43i1.47632
NLM
Martins JA, Fiorio PR, Barros PP da S, Demattê JAM, Molin JP, Cantarella H, Neale CMU. Potential use of hyperspectral data to monitor sugarcane nitrogen status [Internet]. Acta Scientiarum. Agronomy. 2021 ; 43 1-13.[citado 2024 out. 12 ] Available from: https://doi.org/10.4025/actasciagron.v43i1.47632
Vancouver
Martins JA, Fiorio PR, Barros PP da S, Demattê JAM, Molin JP, Cantarella H, Neale CMU. Potential use of hyperspectral data to monitor sugarcane nitrogen status [Internet]. Acta Scientiarum. Agronomy. 2021 ; 43 1-13.[citado 2024 out. 12 ] Available from: https://doi.org/10.4025/actasciagron.v43i1.47632
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
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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: 12 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. 12 ] 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. 12 ] Available from: file:///C:/Users/46680/Desktop/5973-Article%Text-29673-1-10-20201225.pdf
Artigo de periodico
A measurement system based on LIDAR technology to characterize the canopy of sugarcane plants (2019)
Canata, Tatiana Fernanda; Molin, José Paulo; Sousa, Rafael Vieira de
Source: Engenharia Agrícola. Unidades: ESALQ, FZEA
Subjects: CANA-DE-AÇÚCAR, DOSSEL (BOTÂNICA), SENSORIAMENTO REMOTO, TECNOLOGIA LIDAR
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CANATA, Tatiana Fernanda e MOLIN, José Paulo e SOUSA, Rafael Vieira de. A measurement system based on LIDAR technology to characterize the canopy of sugarcane plants. Engenharia Agrícola, v. 39, n. 2, p. 240-247, 2019Tradução . . Disponível em: https://doi.org/10.1590/1809-4430-Eng.Agric.v39n2p240-247/2019. Acesso em: 12 out. 2024.
APA
Canata, T. F., Molin, J. P., & Sousa, R. V. de. (2019). A measurement system based on LIDAR technology to characterize the canopy of sugarcane plants. Engenharia Agrícola, 39( 2), 240-247. doi:10.1590/1809-4430-Eng.Agric.v39n2p240-247/2019
NLM
Canata TF, Molin JP, Sousa RV de. A measurement system based on LIDAR technology to characterize the canopy of sugarcane plants [Internet]. Engenharia Agrícola. 2019 ; 39( 2): 240-247.[citado 2024 out. 12 ] Available from: https://doi.org/10.1590/1809-4430-Eng.Agric.v39n2p240-247/2019
Vancouver
Canata TF, Molin JP, Sousa RV de. A measurement system based on LIDAR technology to characterize the canopy of sugarcane plants [Internet]. Engenharia Agrícola. 2019 ; 39( 2): 240-247.[citado 2024 out. 12 ] Available from: https://doi.org/10.1590/1809-4430-Eng.Agric.v39n2p240-247/2019
Artigo de periodico
Canopy sensor placement for variable-rate nitrogen application in sugarcane fields (2018)
Amaral, Lucas R; Trevisan, Rodrigo G; Molin, José Paulo
Source: Precision Agriculture. Unidade: ESALQ
Subjects: SENSORES ÓPTICOS, FERTILIZANTES NITROGENADOS, CANA-DE-AÇÚCAR
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AMARAL, Lucas R e TREVISAN, Rodrigo G e MOLIN, José Paulo. Canopy sensor placement for variable-rate nitrogen application in sugarcane fields. Precision Agriculture, v. 19, p. 147–160, 2018Tradução . . Disponível em: https://doi.org/10.1007/s11119-017-9505-x. Acesso em: 12 out. 2024.
APA
Amaral, L. R., Trevisan, R. G., & Molin, J. P. (2018). Canopy sensor placement for variable-rate nitrogen application in sugarcane fields. Precision Agriculture, 19, 147–160. doi:10.1007/s11119-017-9505-x
NLM
Amaral LR, Trevisan RG, Molin JP. Canopy sensor placement for variable-rate nitrogen application in sugarcane fields [Internet]. Precision Agriculture. 2018 ; 19 147–160.[citado 2024 out. 12 ] Available from: https://doi.org/10.1007/s11119-017-9505-x
Vancouver
Amaral LR, Trevisan RG, Molin JP. Canopy sensor placement for variable-rate nitrogen application in sugarcane fields [Internet]. Precision Agriculture. 2018 ; 19 147–160.[citado 2024 out. 12 ] Available from: https://doi.org/10.1007/s11119-017-9505-x
Artigo de periodico
A sampling plan and spatial distribution for site-specific control of Sphenophorus levis in sugarcane (2016)
Pavlú, Franz Arthur; Molin, José Paulo
Source: Acta Scientiarum. Agronomy. Unidade: ESALQ
Subjects: AGRICULTURA DE PRECISÃO, AMOSTRAGEM, CANA-DE-AÇÚCAR, DISTRIBUIÇÃO ESPACIAL
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PAVLÚ, Franz Arthur e MOLIN, José Paulo. A sampling plan and spatial distribution for site-specific control of Sphenophorus levis in sugarcane. Acta Scientiarum. Agronomy, v. 38, n. 3, p. 279-287, 2016Tradução . . Disponível em: https://doi.org/10.4025/actasciagron.v38i3.28599. Acesso em: 12 out. 2024.
APA
Pavlú, F. A., & Molin, J. P. (2016). A sampling plan and spatial distribution for site-specific control of Sphenophorus levis in sugarcane. Acta Scientiarum. Agronomy, 38( 3), 279-287. doi:10.4025/actasciagron.v38i3.28599
NLM
Pavlú FA, Molin JP. A sampling plan and spatial distribution for site-specific control of Sphenophorus levis in sugarcane [Internet]. Acta Scientiarum. Agronomy. 2016 ; 38( 3): 279-287.[citado 2024 out. 12 ] Available from: https://doi.org/10.4025/actasciagron.v38i3.28599
Vancouver
Pavlú FA, Molin JP. A sampling plan and spatial distribution for site-specific control of Sphenophorus levis in sugarcane [Internet]. Acta Scientiarum. Agronomy. 2016 ; 38( 3): 279-287.[citado 2024 out. 12 ] Available from: https://doi.org/10.4025/actasciagron.v38i3.28599
Artigo de periodico
Comparison of crop canopy reflectance sensors used to identify sugarcane biomass and nitrogen status (2015)
Amaral, Lucas R; Molin, José Paulo; Portz, Gustavo; Finazzi, Felipe Baricatti
Source: Precision Agriculture. Unidade: ESALQ
Subjects: CANA-DE-AÇÚCAR, BIOMASSA, AGRICULTURA DE PRECISÃO, SENSORIAMENTO REMOTO
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AMARAL, Lucas R et al. Comparison of crop canopy reflectance sensors used to identify sugarcane biomass and nitrogen status. Precision Agriculture, v. 16, n. 1, p. 15-28, 2015Tradução . . Disponível em: https://doi.org/10.1007/s11119-014-9377-2. Acesso em: 12 out. 2024.
APA
Amaral, L. R., Molin, J. P., Portz, G., & Finazzi, F. B. (2015). Comparison of crop canopy reflectance sensors used to identify sugarcane biomass and nitrogen status. Precision Agriculture, 16( 1), 15-28. doi:10.1007/s11119-014-9377-2
NLM
Amaral LR, Molin JP, Portz G, Finazzi FB. Comparison of crop canopy reflectance sensors used to identify sugarcane biomass and nitrogen status [Internet]. Precision Agriculture. 2015 ; 16( 1): 15-28.[citado 2024 out. 12 ] Available from: https://doi.org/10.1007/s11119-014-9377-2
Vancouver
Amaral LR, Molin JP, Portz G, Finazzi FB. Comparison of crop canopy reflectance sensors used to identify sugarcane biomass and nitrogen status [Internet]. Precision Agriculture. 2015 ; 16( 1): 15-28.[citado 2024 out. 12 ] Available from: https://doi.org/10.1007/s11119-014-9377-2
Artigo de periodico
Sugarcane response to nitrogen rates, measured by a canopy reflectance sensor (2015)
Rosa, Hugo José Andrade; Amaral, Lucas Rios do; Molin, José Paulo; Cantarella, Heitor
Source: Pesquisa Agropecuária Brasileira. Unidade: ESALQ
Subjects: CANA-DE-AÇÚCAR, AGRICULTURA DE PRECISÃO, FERTILIZANTES NITROGENADOS, SENSORES ÓPTICOS
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ABNT
ROSA, Hugo José Andrade et al. Sugarcane response to nitrogen rates, measured by a canopy reflectance sensor. Pesquisa Agropecuária Brasileira, v. 52, n. 9, p. 840-848, 2015Tradução . . Disponível em: https://doi.org/10.1590/S0100-204X2015000900013. Acesso em: 12 out. 2024.
APA
Rosa, H. J. A., Amaral, L. R. do, Molin, J. P., & Cantarella, H. (2015). Sugarcane response to nitrogen rates, measured by a canopy reflectance sensor. Pesquisa Agropecuária Brasileira, 52( 9), 840-848. doi:10.1590/S0100-204X2015000900013
NLM
Rosa HJA, Amaral LR do, Molin JP, Cantarella H. Sugarcane response to nitrogen rates, measured by a canopy reflectance sensor [Internet]. Pesquisa Agropecuária Brasileira. 2015 ; 52( 9): 840-848.[citado 2024 out. 12 ] Available from: https://doi.org/10.1590/S0100-204X2015000900013
Vancouver
Rosa HJA, Amaral LR do, Molin JP, Cantarella H. Sugarcane response to nitrogen rates, measured by a canopy reflectance sensor [Internet]. Pesquisa Agropecuária Brasileira. 2015 ; 52( 9): 840-848.[citado 2024 out. 12 ] Available from: https://doi.org/10.1590/S0100-204X2015000900013
Artigo de periodico
Cost of boundary manoeuvres in sugarcane production (2015)
Spekken, M ; Molin, José Paulo ; Romanelli, Thiago Libório
Source: Biosystems Engineering. Unidade: ESALQ
Subjects: CADEIA PRODUTIVA, CANA-DE-AÇÚCAR, ENERGIA, MÁQUINAS AGRÍCOLAS, MECANIZAÇÃO AGRÍCOLA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SPEKKEN, M e MOLIN, José Paulo e ROMANELLI, Thiago Libório. Cost of boundary manoeuvres in sugarcane production. Biosystems Engineering, v. 129, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.biosystemseng.2014.09.007. Acesso em: 12 out. 2024.
APA
Spekken, M., Molin, J. P., & Romanelli, T. L. (2015). Cost of boundary manoeuvres in sugarcane production. Biosystems Engineering, 129. doi:10.1016/j.biosystemseng.2014.09.007
NLM
Spekken M, Molin JP, Romanelli TL. Cost of boundary manoeuvres in sugarcane production [Internet]. Biosystems Engineering. 2015 ; 129[citado 2024 out. 12 ] Available from: https://doi.org/10.1016/j.biosystemseng.2014.09.007
Vancouver
Spekken M, Molin JP, Romanelli TL. Cost of boundary manoeuvres in sugarcane production [Internet]. Biosystems Engineering. 2015 ; 129[citado 2024 out. 12 ] Available from: https://doi.org/10.1016/j.biosystemseng.2014.09.007
Artigo de periodico
Algorithm for variable-rate nitrogen application in sugarcane based on active crop canopy sensor (2015)
Amaral, Lucas R; Molin, José Paulo ; Schepers, James S
Source: Agronomy Journal. Unidade: ESALQ
Subjects: CANA-DE-AÇÚCAR, ALGORITMOS, FERTILIZANTES NITROGENADOS, DOSSEL (BOTÂNICA), BIOMASSA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AMARAL, Lucas R e MOLIN, José Paulo e SCHEPERS, James S. Algorithm for variable-rate nitrogen application in sugarcane based on active crop canopy sensor. Agronomy Journal, v. 107, n. 4, p. 1-12, 2015Tradução . . Disponível em: https://doi.org/10.2134/agronj14.0494. Acesso em: 12 out. 2024.
APA
Amaral, L. R., Molin, J. P., & Schepers, J. S. (2015). Algorithm for variable-rate nitrogen application in sugarcane based on active crop canopy sensor. Agronomy Journal, 107( 4), 1-12. doi:10.2134/agronj14.0494
NLM
Amaral LR, Molin JP, Schepers JS. Algorithm for variable-rate nitrogen application in sugarcane based on active crop canopy sensor [Internet]. Agronomy Journal. 2015 ; 107( 4): 1-12.[citado 2024 out. 12 ] Available from: https://doi.org/10.2134/agronj14.0494
Vancouver
Amaral LR, Molin JP, Schepers JS. Algorithm for variable-rate nitrogen application in sugarcane based on active crop canopy sensor [Internet]. Agronomy Journal. 2015 ; 107( 4): 1-12.[citado 2024 out. 12 ] Available from: https://doi.org/10.2134/agronj14.0494
Artigo de periodico
The effectiveness of three vegetation indices obtained from a canopy sensor in identifying sugarcane response to nitrogen (2014)
Amaral, Lucas Rio do; Molin, José Paulo
Source: Agronomy Journal. Unidade: ESALQ
Subjects: NITROGÊNIO, CANA-DE-AÇÚCAR, VEGETAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AMARAL, Lucas Rio do e MOLIN, José Paulo. The effectiveness of three vegetation indices obtained from a canopy sensor in identifying sugarcane response to nitrogen. Agronomy Journal, v. 106, n. 1, p. 273-280, 2014Tradução . . Disponível em: https://doi.org/10.2134/agronj2012.0504. Acesso em: 12 out. 2024.
APA
Amaral, L. R. do, & Molin, J. P. (2014). The effectiveness of three vegetation indices obtained from a canopy sensor in identifying sugarcane response to nitrogen. Agronomy Journal, 106( 1), 273-280. doi:10.2134/agronj2012.0504
NLM
Amaral LR do, Molin JP. The effectiveness of three vegetation indices obtained from a canopy sensor in identifying sugarcane response to nitrogen [Internet]. Agronomy Journal. 2014 ; 106( 1): 273-280.[citado 2024 out. 12 ] Available from: https://doi.org/10.2134/agronj2012.0504
Vancouver
Amaral LR do, Molin JP. The effectiveness of three vegetation indices obtained from a canopy sensor in identifying sugarcane response to nitrogen [Internet]. Agronomy Journal. 2014 ; 106( 1): 273-280.[citado 2024 out. 12 ] Available from: https://doi.org/10.2134/agronj2012.0504
Artigo de periodico
Assessing damage caused by accidental vehicle traffic on sugarcane ratoon (2013)
Paula, V R de; Molin, José Paulo
Source: Applied Engineering in Agriculture. Unidade: ESALQ
Subjects: CANA-DE-AÇÚCAR, MECANIZAÇÃO AGRÍCOLA, DANOS MECÂNICOS, PERDAS AGRÍCOLAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PAULA, V R de e MOLIN, José Paulo. Assessing damage caused by accidental vehicle traffic on sugarcane ratoon. Applied Engineering in Agriculture, v. 29, n. 2, p. 161-169, 2013Tradução . . Disponível em: https://elibrary.asabe.org/azdez.asp?JID=3&AID=42642&CID=aeaj2013&v=29&i=2&T=2&redirType=. Acesso em: 12 out. 2024.
APA
Paula, V. R. de, & Molin, J. P. (2013). Assessing damage caused by accidental vehicle traffic on sugarcane ratoon. Applied Engineering in Agriculture, 29( 2), 161-169. Recuperado de https://elibrary.asabe.org/azdez.asp?JID=3&AID=42642&CID=aeaj2013&v=29&i=2&T=2&redirType=
NLM
Paula VR de, Molin JP. Assessing damage caused by accidental vehicle traffic on sugarcane ratoon [Internet]. Applied Engineering in Agriculture. 2013 ; 29( 2): 161-169.[citado 2024 out. 12 ] Available from: https://elibrary.asabe.org/azdez.asp?JID=3&AID=42642&CID=aeaj2013&v=29&i=2&T=2&redirType=
Vancouver
Paula VR de, Molin JP. Assessing damage caused by accidental vehicle traffic on sugarcane ratoon [Internet]. Applied Engineering in Agriculture. 2013 ; 29( 2): 161-169.[citado 2024 out. 12 ] Available from: https://elibrary.asabe.org/azdez.asp?JID=3&AID=42642&CID=aeaj2013&v=29&i=2&T=2&redirType=
Parte de monografia/livro
Precision Agriculture in Sugarcane Production (2013)
Molin, José Paulo; Portz, Gustavo; Amaral, Lucas Rios do
Source: Precision Agriculture for Sustainability and Environmental Protection. Unidade: ESALQ
Subjects: CANA-DE-AÇÚCAR, AGRICULTURA DE PRECISÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOLIN, José Paulo e PORTZ, Gustavo e AMARAL, Lucas Rios do. Precision Agriculture in Sugarcane Production. Precision Agriculture for Sustainability and Environmental Protection. Tradução . Oxon: Routledge, 2013. . . Acesso em: 12 out. 2024.
APA
Molin, J. P., Portz, G., & Amaral, L. R. do. (2013). Precision Agriculture in Sugarcane Production. In Precision Agriculture for Sustainability and Environmental Protection. Oxon: Routledge.
NLM
Molin JP, Portz G, Amaral LR do. Precision Agriculture in Sugarcane Production. In: Precision Agriculture for Sustainability and Environmental Protection. Oxon: Routledge; 2013. [citado 2024 out. 12 ]
Vancouver
Molin JP, Portz G, Amaral LR do. Precision Agriculture in Sugarcane Production. In: Precision Agriculture for Sustainability and Environmental Protection. Oxon: Routledge; 2013. [citado 2024 out. 12 ]

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