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Artigo de periodico
Efficiency and reliability of broiler weighing methods in commercial environment: a comparative evaluation (2025)
Pasian, Isis Mariana Dombrowsky Leal ; Silveira, Robson Mateus Freitas ; Reple, Jessica Nacarato; Couto, Hilton Thadeu Zarate do ; Silva, Iran José Oliveira da
Fonte: AgriEngineering. Unidade: ESALQ
Assuntos: FRANGOS DE CORTE, PESOS E MEDIDAS CORPORAIS, ZOOTECNIA DE PRECISÃO
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ABNT
PASIAN, Isis Mariana Dombrowsky Leal et al. Efficiency and reliability of broiler weighing methods in commercial environment: a comparative evaluation. AgriEngineering, v. 7, p. 1-9, 2025Tradução . . Disponível em: https://doi.org/10.3390/agriengineering7050141. Acesso em: 07 out. 2025.
APA
Pasian, I. M. D. L., Silveira, R. M. F., Reple, J. N., Couto, H. T. Z. do, & Silva, I. J. O. da. (2025). Efficiency and reliability of broiler weighing methods in commercial environment: a comparative evaluation. AgriEngineering, 7, 1-9. doi:10.3390/agriengineering7050141
NLM
Pasian IMDL, Silveira RMF, Reple JN, Couto HTZ do, Silva IJO da. Efficiency and reliability of broiler weighing methods in commercial environment: a comparative evaluation [Internet]. AgriEngineering. 2025 ; 7 1-9.[citado 2025 out. 07 ] Available from: https://doi.org/10.3390/agriengineering7050141
Vancouver
Pasian IMDL, Silveira RMF, Reple JN, Couto HTZ do, Silva IJO da. Efficiency and reliability of broiler weighing methods in commercial environment: a comparative evaluation [Internet]. AgriEngineering. 2025 ; 7 1-9.[citado 2025 out. 07 ] Available from: https://doi.org/10.3390/agriengineering7050141
Artigo de periodico
Operating point control system in single-phase motor pump sets used in irrigation systems: development and evaluation (2025)
Azevedo, Angelo Tiago ; Pinto, Marinaldo Ferreira ; Oliveira, Marcus Vinicius Morais; Pereira, Alexandre de Melo ; Carvalho, Daniel Fonseca de
Fonte: AgriEngineering. Unidade: ESALQ
Assuntos: IRRIGAÇÃO, BOMBA
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AZEVEDO, Angelo Tiago et al. Operating point control system in single-phase motor pump sets used in irrigation systems: development and evaluation. AgriEngineering, v. 7, p. 1-19, 2025Tradução . . Disponível em: https://doi.org/10.3390/agriengineering7090298. Acesso em: 07 out. 2025.
APA
Azevedo, A. T., Pinto, M. F., Oliveira, M. V. M., Pereira, A. de M., & Carvalho, D. F. de. (2025). Operating point control system in single-phase motor pump sets used in irrigation systems: development and evaluation. AgriEngineering, 7, 1-19. doi:10.3390/agriengineering7090298
NLM
Azevedo AT, Pinto MF, Oliveira MVM, Pereira A de M, Carvalho DF de. Operating point control system in single-phase motor pump sets used in irrigation systems: development and evaluation [Internet]. AgriEngineering. 2025 ; 7 1-19.[citado 2025 out. 07 ] Available from: https://doi.org/10.3390/agriengineering7090298
Vancouver
Azevedo AT, Pinto MF, Oliveira MVM, Pereira A de M, Carvalho DF de. Operating point control system in single-phase motor pump sets used in irrigation systems: development and evaluation [Internet]. AgriEngineering. 2025 ; 7 1-19.[citado 2025 out. 07 ] Available from: https://doi.org/10.3390/agriengineering7090298
Artigo de periodico
Environmental covariates for sampling optimization and pest prediction in soybean crops (2025)
Martins, Cenneya Lopes ; Pusch, Maiara ; Godoy, Wesley Augusto Conde ; Amaral, Lucas Rios do
Fonte: AgriEngineering. Unidade: ESALQ
Assuntos: AGRICULTURA DE PRECISÃO, AMOSTRAGEM, ANÁLISE DE COVARIÂNCIA, INSETOS NOCIVOS, MANEJO INTEGRADO, PRAGAS DE PLANTAS, SENSORIAMENTO REMOTO, SOJA
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MARTINS, Cenneya Lopes et al. Environmental covariates for sampling optimization and pest prediction in soybean crops. AgriEngineering, v. 7, p. 1-24, 2025Tradução . . Disponível em: https://doi.org/10.3390/agriengineering7010021. Acesso em: 07 out. 2025.
APA
Martins, C. L., Pusch, M., Godoy, W. A. C., & Amaral, L. R. do. (2025). Environmental covariates for sampling optimization and pest prediction in soybean crops. AgriEngineering, 7, 1-24. doi:10.3390/agriengineering7010021
NLM
Martins CL, Pusch M, Godoy WAC, Amaral LR do. Environmental covariates for sampling optimization and pest prediction in soybean crops [Internet]. AgriEngineering. 2025 ; 7 1-24.[citado 2025 out. 07 ] Available from: https://doi.org/10.3390/agriengineering7010021
Vancouver
Martins CL, Pusch M, Godoy WAC, Amaral LR do. Environmental covariates for sampling optimization and pest prediction in soybean crops [Internet]. AgriEngineering. 2025 ; 7 1-24.[citado 2025 out. 07 ] Available from: https://doi.org/10.3390/agriengineering7010021
Artigo de periodico
Design and prototyping of a robotic structure for poultry farming (2025)
Balthazar, Glauber da Rocha ; Silveira, Robson Mateus Freitas ; Silva, Iran José Oliveira da
Fonte: AgriEngineering. Unidade: ESALQ
Assuntos: AVICULTURA, BEM-ESTAR DO ANIMAL, ROBÔS, ROBÓTICA, SENSOR, ZOOTECNIA DE PRECISÃO
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BALTHAZAR, Glauber da Rocha e SILVEIRA, Robson Mateus Freitas e SILVA, Iran José Oliveira da. Design and prototyping of a robotic structure for poultry farming. AgriEngineering, v. 7, p. 1-23, 2025Tradução . . Disponível em: https://doi.org/10.3390/agriengineering7070233. Acesso em: 07 out. 2025.
APA
Balthazar, G. da R., Silveira, R. M. F., & Silva, I. J. O. da. (2025). Design and prototyping of a robotic structure for poultry farming. AgriEngineering, 7, 1-23. doi:10.3390/agriengineering7070233
NLM
Balthazar G da R, Silveira RMF, Silva IJO da. Design and prototyping of a robotic structure for poultry farming [Internet]. AgriEngineering. 2025 ; 7 1-23.[citado 2025 out. 07 ] Available from: https://doi.org/10.3390/agriengineering7070233
Vancouver
Balthazar G da R, Silveira RMF, Silva IJO da. Design and prototyping of a robotic structure for poultry farming [Internet]. AgriEngineering. 2025 ; 7 1-23.[citado 2025 out. 07 ] Available from: https://doi.org/10.3390/agriengineering7070233
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
Fonte: AgriEngineering. Unidade: ESALQ
Assuntos: 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: 07 out. 2025.
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 2025 out. 07 ] 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 2025 out. 07 ] Available from: https://doi.org/g/10.3390/agriengineering6020053
Artigo de periodico
A data-driven method for water quality analysis and prediction for localized irrigation (2024)
Silva, Roberto Fray da ; Benso, Marcos Roberto ; Correa, Fernando Elias ; Messias, Tâmara Guindo ; Mendonça, Fernando Campos ; Marques, Patricia Angélica Alves ; Duarte, Sergio Nascimento ; Mendiondo, Eduardo Mario ; Delbem, Alexandre Cláudio Botazzo ; Saraiva, Antonio Mauro
Fonte: AgriEngineering. Unidades: ESALQ, EESC, ICMC, EP, IEA
Assuntos: APRENDIZADO COMPUTACIONAL, ESTUDO DE CASO, IRRIGAÇÃO, QUALIDADE DA ÁGUA
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ABNT
SILVA, Roberto Fray da et al. A data-driven method for water quality analysis and prediction for localized irrigation. AgriEngineering, v. 6, n. 2, p. 1771-1793, 2024Tradução . . Disponível em: https://doi.org/10.3390/agriengineering6020103. Acesso em: 07 out. 2025.
APA
Silva, R. F. da, Benso, M. R., Correa, F. E., Messias, T. G., Mendonça, F. C., Marques, P. A. A., et al. (2024). A data-driven method for water quality analysis and prediction for localized irrigation. AgriEngineering, 6( 2), 1771-1793. doi:10.3390/agriengineering6020103
NLM
Silva RF da, Benso MR, Correa FE, Messias TG, Mendonça FC, Marques PAA, Duarte SN, Mendiondo EM, Delbem ACB, Saraiva AM. A data-driven method for water quality analysis and prediction for localized irrigation [Internet]. AgriEngineering. 2024 ; 6( 2): 1771-1793.[citado 2025 out. 07 ] Available from: https://doi.org/10.3390/agriengineering6020103
Vancouver
Silva RF da, Benso MR, Correa FE, Messias TG, Mendonça FC, Marques PAA, Duarte SN, Mendiondo EM, Delbem ACB, Saraiva AM. A data-driven method for water quality analysis and prediction for localized irrigation [Internet]. AgriEngineering. 2024 ; 6( 2): 1771-1793.[citado 2025 out. 07 ] Available from: https://doi.org/10.3390/agriengineering6020103
Artigo de periodico
Is it possible to measure the quality of sugarcane in real-time during harvesting using onboard NIR spectroscopy? (2024)
Corrêdo, Lucas de Paula ; Molin, José Paulo ; Canal Filho, Ricardo
Fonte: AgriEngineering. Unidade: ESALQ
Assuntos: AGRICULTURA DE PRECISÃO, CANA-DE-AÇÚCAR, COLHEDORAS, COLHEITA, ESPECTROSCOPIA INFRAVERMELHA, SENSOR, VARIABILIDADE ESPACIAL
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ABNT
CORRÊDO, Lucas de Paula e MOLIN, José Paulo e CANAL FILHO, Ricardo. Is it possible to measure the quality of sugarcane in real-time during harvesting using onboard NIR spectroscopy?. AgriEngineering, v. 6, p. 64-80, 2024Tradução . . Disponível em: https://doi.org/10.3390/agriengineering6010005. Acesso em: 07 out. 2025.
APA
Corrêdo, L. de P., Molin, J. P., & Canal Filho, R. (2024). Is it possible to measure the quality of sugarcane in real-time during harvesting using onboard NIR spectroscopy? AgriEngineering, 6, 64-80. doi:10.3390/agriengineering6010005
NLM
Corrêdo L de P, Molin JP, Canal Filho R. Is it possible to measure the quality of sugarcane in real-time during harvesting using onboard NIR spectroscopy? [Internet]. AgriEngineering. 2024 ; 6 64-80.[citado 2025 out. 07 ] Available from: https://doi.org/10.3390/agriengineering6010005
Vancouver
Corrêdo L de P, Molin JP, Canal Filho R. Is it possible to measure the quality of sugarcane in real-time during harvesting using onboard NIR spectroscopy? [Internet]. AgriEngineering. 2024 ; 6 64-80.[citado 2025 out. 07 ] Available from: https://doi.org/10.3390/agriengineering6010005
Artigo de periodico
Typology of production units for improving banana agronomic management in Ecuador (2024)
Quiloango-Chimarro, Carlos Alberto ; Gioia, Henrique Raymundo ; Costa, Jéfferson de Oliveira
Fonte: AgriEngineering. Unidade: ESALQ
Assuntos: BANANA, BANANICULTURA, ANÁLISE DE CONGLOMERADOS, COMPONENTES PRINCIPAIS
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QUILOANGO-CHIMARRO, Carlos Alberto e GIOIA, Henrique Raymundo e COSTA, Jéfferson de Oliveira. Typology of production units for improving banana agronomic management in Ecuador. AgriEngineering, v. 6, p. 2811–2823, 2024Tradução . . Disponível em: https://doi.org/10.3390/agriengineering6030163. Acesso em: 07 out. 2025.
APA
Quiloango-Chimarro, C. A., Gioia, H. R., & Costa, J. de O. (2024). Typology of production units for improving banana agronomic management in Ecuador. AgriEngineering, 6, 2811–2823. doi:10.3390/agriengineering6030163
NLM
Quiloango-Chimarro CA, Gioia HR, Costa J de O. Typology of production units for improving banana agronomic management in Ecuador [Internet]. AgriEngineering. 2024 ; 6 2811–2823.[citado 2025 out. 07 ] Available from: https://doi.org/10.3390/agriengineering6030163
Vancouver
Quiloango-Chimarro CA, Gioia HR, Costa J de O. Typology of production units for improving banana agronomic management in Ecuador [Internet]. AgriEngineering. 2024 ; 6 2811–2823.[citado 2025 out. 07 ] Available from: https://doi.org/10.3390/agriengineering6030163
Artigo de periodico
Automated windrow profiling system in mechanized peanut harvesting (2024)
Senni, Alexandre Padilha; Tronco, Mario Luiz ; Pedrino, Emerson Carlos; Silva, Rouverson Pereira da
Fonte: AgriEngineering. Unidade: EESC
Assuntos: VISÃO COMPUTACIONAL, AGRICULTURA DE PRECISÃO, AMENDOIM, ENGENHARIA MECÂNICA
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ABNT
SENNI, Alexandre Padilha et al. Automated windrow profiling system in mechanized peanut harvesting. AgriEngineering, v. 6, n. 4, p. 3511-3537, 2024Tradução . . Disponível em: https://dx.doi.org/10.3390/agriengineering6040200. Acesso em: 07 out. 2025.
APA
Senni, A. P., Tronco, M. L., Pedrino, E. C., & Silva, R. P. da. (2024). Automated windrow profiling system in mechanized peanut harvesting. AgriEngineering, 6( 4), 3511-3537. doi:10.3390/agriengineering6040200
NLM
Senni AP, Tronco ML, Pedrino EC, Silva RP da. Automated windrow profiling system in mechanized peanut harvesting [Internet]. AgriEngineering. 2024 ; 6( 4): 3511-3537.[citado 2025 out. 07 ] Available from: https://dx.doi.org/10.3390/agriengineering6040200
Vancouver
Senni AP, Tronco ML, Pedrino EC, Silva RP da. Automated windrow profiling system in mechanized peanut harvesting [Internet]. AgriEngineering. 2024 ; 6( 4): 3511-3537.[citado 2025 out. 07 ] Available from: https://dx.doi.org/10.3390/agriengineering6040200
Artigo de periodico
Smart coffee: machine learning techniques for estimating arabica coffee yield (2024)
Freitas, Cleverson Henrique de ; Coelho, Rubens Duarte ; Costa, Jéfferson de Oliveira ; Sentelhas, Paulo Cesar
Fonte: AgriEngineering. Unidade: ESALQ
Assuntos: AGROCLIMATOLOGIA, ANÁLISE FATORIAL, APRENDIZADO COMPUTACIONAL, CAFÉ, MODELAGEM DE DADOS, VARIEDADES VEGETAIS
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FREITAS, Cleverson Henrique de et al. Smart coffee: machine learning techniques for estimating arabica coffee yield. AgriEngineering, v. 6, p. 4925-4942, 2024Tradução . . Disponível em: https://doi.org/10.3390/agriengineering6040281. Acesso em: 07 out. 2025.
APA
Freitas, C. H. de, Coelho, R. D., Costa, J. de O., & Sentelhas, P. C. (2024). Smart coffee: machine learning techniques for estimating arabica coffee yield. AgriEngineering, 6, 4925-4942. doi:10.3390/agriengineering6040281
NLM
Freitas CH de, Coelho RD, Costa J de O, Sentelhas PC. Smart coffee: machine learning techniques for estimating arabica coffee yield [Internet]. AgriEngineering. 2024 ; 6 4925-4942.[citado 2025 out. 07 ] Available from: https://doi.org/10.3390/agriengineering6040281
Vancouver
Freitas CH de, Coelho RD, Costa J de O, Sentelhas PC. Smart coffee: machine learning techniques for estimating arabica coffee yield [Internet]. AgriEngineering. 2024 ; 6 4925-4942.[citado 2025 out. 07 ] Available from: https://doi.org/10.3390/agriengineering6040281
Artigo de periodico
Automatic filtering of sugarcane yield data (2024)
Silva, Eudocio Rafael Otavio da ; Molin, José Paulo ; Wei, Marcelo Chan Fu ; Canal Filho, Ricardo
Fonte: AgriEngineering. Unidade: ESALQ
Assuntos: AGRICULTURA DE PRECISÃO, APRENDIZADO COMPUTACIONAL, CANA-DE-AÇÚCAR, COLHEDORAS, COLHEITA, MECANIZAÇÃO AGRÍCOLA, VALORES ATÍPICOS
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ABNT
SILVA, Eudocio Rafael Otavio da et al. Automatic filtering of sugarcane yield data. AgriEngineering, v. 6, p. 4812-4830, 2024Tradução . . Disponível em: https://doi.org/10.3390/agriengineering6040275. Acesso em: 07 out. 2025.
APA
Silva, E. R. O. da, Molin, J. P., Wei, M. C. F., & Canal Filho, R. (2024). Automatic filtering of sugarcane yield data. AgriEngineering, 6, 4812-4830. doi:10.3390/agriengineering6040275
NLM
Silva ERO da, Molin JP, Wei MCF, Canal Filho R. Automatic filtering of sugarcane yield data [Internet]. AgriEngineering. 2024 ; 6 4812-4830.[citado 2025 out. 07 ] Available from: https://doi.org/10.3390/agriengineering6040275
Vancouver
Silva ERO da, Molin JP, Wei MCF, Canal Filho R. Automatic filtering of sugarcane yield data [Internet]. AgriEngineering. 2024 ; 6 4812-4830.[citado 2025 out. 07 ] Available from: https://doi.org/10.3390/agriengineering6040275
Artigo de periodico
Performance of neural networks in the prediction of nitrogen nutrition in strawberry plants (2024)
Regazzo, Jamile Raquel ; Silva, Thiago Lima da ; Tavares, Marcos Silva; Sardinha, Edson José de Souza ; Figueiredo, Caroline Goulart ; Couto, Júlia Luna; Gomes, Tamara Maria ; Tech, Adriano Rogério Bruno ; Baesso, Murilo Mesquita
Fonte: AgriEngineering. Unidades: FZEA, ESALQ
Assuntos: ADUBAÇÃO FOLIAR, APRENDIZADO COMPUTACIONAL, FERTILIZANTES NITROGENADOS, MORANGO, NITROGÊNIO, NUTRIÇÃO VEGETAL, REDES NEURAIS
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ABNT
REGAZZO, Jamile Raquel et al. Performance of neural networks in the prediction of nitrogen nutrition in strawberry plants. AgriEngineering, v. 6, p. 1760–1770, 2024Tradução . . Disponível em: https://doi.org/10.3390/agriengineering6020102. Acesso em: 07 out. 2025.
APA
Regazzo, J. R., Silva, T. L. da, Tavares, M. S., Sardinha, E. J. de S., Figueiredo, C. G., Couto, J. L., et al. (2024). Performance of neural networks in the prediction of nitrogen nutrition in strawberry plants. AgriEngineering, 6, 1760–1770. doi:10.3390/agriengineering6020102
NLM
Regazzo JR, Silva TL da, Tavares MS, Sardinha EJ de S, Figueiredo CG, Couto JL, Gomes TM, Tech ARB, Baesso MM. Performance of neural networks in the prediction of nitrogen nutrition in strawberry plants [Internet]. AgriEngineering. 2024 ; 6 1760–1770.[citado 2025 out. 07 ] Available from: https://doi.org/10.3390/agriengineering6020102
Vancouver
Regazzo JR, Silva TL da, Tavares MS, Sardinha EJ de S, Figueiredo CG, Couto JL, Gomes TM, Tech ARB, Baesso MM. Performance of neural networks in the prediction of nitrogen nutrition in strawberry plants [Internet]. AgriEngineering. 2024 ; 6 1760–1770.[citado 2025 out. 07 ] Available from: https://doi.org/10.3390/agriengineering6020102
Artigo de periodico
Sugarcane water productivity for bioethanol, sugar and biomass under deficit irrigation (2024)
Barbosa, Fernando da Silva; Coelho, Rubens Duarte ; Barros, Timóteo Herculino da Silva ; Lizcano, Jonathan Vásquez ; Fraga Júnior, Eusímio Felisbino; Santos, Lucas da Costa; Leal, Daniel Philipe Veloso; Ribeiro, Nathália Lopes ; Costa, Jéfferson de Oliveira
Fonte: AgriEngineering. Unidades: ESALQ, CENA
Assuntos: AÇÚCAR, ÁGUA DO SOLO, BIOMASSA, CANA-DE-AÇÚCAR, DEFICIT HÍDRICO, ETANOL, IRRIGAÇÃO POR GOTEJAMENTO, VARIEDADES VEGETAIS
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BARBOSA, Fernando da Silva et al. Sugarcane water productivity for bioethanol, sugar and biomass under deficit irrigation. AgriEngineering, v. 6, p. 1117-1132, 2024Tradução . . Disponível em: https://doi.org/10.3390/agriengineering6020064. Acesso em: 07 out. 2025.
APA
Barbosa, F. da S., Coelho, R. D., Barros, T. H. da S., Lizcano, J. V., Fraga Júnior, E. F., Santos, L. da C., et al. (2024). Sugarcane water productivity for bioethanol, sugar and biomass under deficit irrigation. AgriEngineering, 6, 1117-1132. doi:10.3390/agriengineering6020064
NLM
Barbosa F da S, Coelho RD, Barros TH da S, Lizcano JV, Fraga Júnior EF, Santos L da C, Leal DPV, Ribeiro NL, Costa J de O. Sugarcane water productivity for bioethanol, sugar and biomass under deficit irrigation [Internet]. AgriEngineering. 2024 ; 6 1117-1132.[citado 2025 out. 07 ] Available from: https://doi.org/10.3390/agriengineering6020064
Vancouver
Barbosa F da S, Coelho RD, Barros TH da S, Lizcano JV, Fraga Júnior EF, Santos L da C, Leal DPV, Ribeiro NL, Costa J de O. Sugarcane water productivity for bioethanol, sugar and biomass under deficit irrigation [Internet]. AgriEngineering. 2024 ; 6 1117-1132.[citado 2025 out. 07 ] Available from: https://doi.org/10.3390/agriengineering6020064
Artigo de periodico
Prediction of corn leaf nitrogen content in a Tropical Region using Vis-NIR-SWIR spectroscopy (2024)
Oliveira, Ana Karla da Silva; Rizzo, Rodnei ; Silva, Carlos Augusto Alves Cardoso ; Ré, Natália Correr ; Caron, Matheus Luís ; Fiorio, Peterson Ricardo
Fonte: AgriEngineering. Unidade: ESALQ
Assuntos: ESPECTROSCOPIA INFRAVERMELHA, ESTADO NUTRICIONAL, FOLHAS (PLANTAS), MILHO, NITROGÊNIO, NUTRIÇÃO VEGETAL
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ABNT
OLIVEIRA, Ana Karla da Silva et al. Prediction of corn leaf nitrogen content in a Tropical Region using Vis-NIR-SWIR spectroscopy. AgriEngineering, v. 6, p. 4135–4153, 2024Tradução . . Disponível em: https://doi.org/10.3390/agriengineering6040233. Acesso em: 07 out. 2025.
APA
Oliveira, A. K. da S., Rizzo, R., Silva, C. A. A. C., Ré, N. C., Caron, M. L., & Fiorio, P. R. (2024). Prediction of corn leaf nitrogen content in a Tropical Region using Vis-NIR-SWIR spectroscopy. AgriEngineering, 6, 4135–4153. doi:10.3390/agriengineering6040233
NLM
Oliveira AK da S, Rizzo R, Silva CAAC, Ré NC, Caron ML, Fiorio PR. Prediction of corn leaf nitrogen content in a Tropical Region using Vis-NIR-SWIR spectroscopy [Internet]. AgriEngineering. 2024 ; 6 4135–4153.[citado 2025 out. 07 ] Available from: https://doi.org/10.3390/agriengineering6040233
Vancouver
Oliveira AK da S, Rizzo R, Silva CAAC, Ré NC, Caron ML, Fiorio PR. Prediction of corn leaf nitrogen content in a Tropical Region using Vis-NIR-SWIR spectroscopy [Internet]. AgriEngineering. 2024 ; 6 4135–4153.[citado 2025 out. 07 ] Available from: https://doi.org/10.3390/agriengineering6040233
Artigo de periodico
Development and evaluation of a variable-rate fertilizer distribution system for coffee plants (2024)
Barros, Murilo Machado de ; Cunha, João Paulo Barreto; Conceição, Fagner Goes da ; Volpato, Carlos Eduardo Silva; Ferraz, Gabriel Araújo e Silva ; Silva, Fabio Moreira da
Fonte: AgriEngineering. Unidade: ESALQ
Assuntos: AGRICULTURA DE PRECISÃO, CAFÉ, CONTROLADORES DIGITAIS, FERTILIZANTES, MÁQUINAS AGRÍCOLAS
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ABNT
BARROS, Murilo Machado de et al. Development and evaluation of a variable-rate fertilizer distribution system for coffee plants. AgriEngineering, v. 6, p. 4064–4076, 2024Tradução . . Disponível em: https://doi.org/10.3390/agriengineering6040229. Acesso em: 07 out. 2025.
APA
Barros, M. M. de, Cunha, J. P. B., Conceição, F. G. da, Volpato, C. E. S., Ferraz, G. A. e S., & Silva, F. M. da. (2024). Development and evaluation of a variable-rate fertilizer distribution system for coffee plants. AgriEngineering, 6, 4064–4076. doi:10.3390/agriengineering6040229
NLM
Barros MM de, Cunha JPB, Conceição FG da, Volpato CES, Ferraz GA e S, Silva FM da. Development and evaluation of a variable-rate fertilizer distribution system for coffee plants [Internet]. AgriEngineering. 2024 ; 6 4064–4076.[citado 2025 out. 07 ] Available from: https://doi.org/10.3390/agriengineering6040229
Vancouver
Barros MM de, Cunha JPB, Conceição FG da, Volpato CES, Ferraz GA e S, Silva FM da. Development and evaluation of a variable-rate fertilizer distribution system for coffee plants [Internet]. AgriEngineering. 2024 ; 6 4064–4076.[citado 2025 out. 07 ] Available from: https://doi.org/10.3390/agriengineering6040229
Artigo de periodico
High-resolution yield mapping for Eucalyptus grandis: a case study (2024)
Dias, Rafael Donizetti; Molin, José Paulo ; Wei, Marcelo Chan Fu ; Alvares, Clayton Alcarde
Fonte: AgriEngineering. Unidade: ESALQ
Assuntos: EUCALIPTO, MAPEAMENTO DO SOLO, MONITORAMENTO, SILVICULTURA, SOLOS, TOMADA DE DECISÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DIAS, Rafael Donizetti et al. High-resolution yield mapping for Eucalyptus grandis: a case study. AgriEngineering, v. 6, p. 1972-1986, 2024Tradução . . Disponível em: https://doi.org/10.3390/agriengineering6030115. Acesso em: 07 out. 2025.
APA
Dias, R. D., Molin, J. P., Wei, M. C. F., & Alvares, C. A. (2024). High-resolution yield mapping for Eucalyptus grandis: a case study. AgriEngineering, 6, 1972-1986. doi:10.3390/agriengineering6030115
NLM
Dias RD, Molin JP, Wei MCF, Alvares CA. High-resolution yield mapping for Eucalyptus grandis: a case study [Internet]. AgriEngineering. 2024 ; 6 1972-1986.[citado 2025 out. 07 ] Available from: https://doi.org/10.3390/agriengineering6030115
Vancouver
Dias RD, Molin JP, Wei MCF, Alvares CA. High-resolution yield mapping for Eucalyptus grandis: a case study [Internet]. AgriEngineering. 2024 ; 6 1972-1986.[citado 2025 out. 07 ] Available from: https://doi.org/10.3390/agriengineering6030115
Artigo de periodico
Use of Conyza canadensis L. extracts as biostimulant in Cyclamen persicum Mill (2024)
Batista, Eunice R; May, Andre; Procópio, Sergio O; Assalin, Marcia R; Quevedo, Helio Danilo ; Binhardi, Nicole; Queiroz, Sonia C. N
Fonte: AgriEngineering. Unidade: ESALQ
Assuntos: AGRICULTURA SUSTENTÁVEL, ALELOPATIA, ESTIMULANTES DE CRESCIMENTO VEGETAL, FLORES, PLANTAS ORNAMENTAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BATISTA, Eunice R et al. Use of Conyza canadensis L. extracts as biostimulant in Cyclamen persicum Mill. AgriEngineering, v. 6, p. 2926-2940, 2024Tradução . . Disponível em: https://doi.org/10.3390/agriengineering6030168. Acesso em: 07 out. 2025.
APA
Batista, E. R., May, A., Procópio, S. O., Assalin, M. R., Quevedo, H. D., Binhardi, N., & Queiroz, S. C. N. (2024). Use of Conyza canadensis L. extracts as biostimulant in Cyclamen persicum Mill. AgriEngineering, 6, 2926-2940. doi:10.3390/agriengineering6030168
NLM
Batista ER, May A, Procópio SO, Assalin MR, Quevedo HD, Binhardi N, Queiroz SCN. Use of Conyza canadensis L. extracts as biostimulant in Cyclamen persicum Mill [Internet]. AgriEngineering. 2024 ; 6 2926-2940.[citado 2025 out. 07 ] Available from: https://doi.org/10.3390/agriengineering6030168
Vancouver
Batista ER, May A, Procópio SO, Assalin MR, Quevedo HD, Binhardi N, Queiroz SCN. Use of Conyza canadensis L. extracts as biostimulant in Cyclamen persicum Mill [Internet]. AgriEngineering. 2024 ; 6 2926-2940.[citado 2025 out. 07 ] Available from: https://doi.org/10.3390/agriengineering6030168
Artigo de periodico
Analysis of total soil nutrient content with X-ray fluorescence spectroscopy (XRF): assessing different predictive modeling strategies and auxiliary variable (2023)
Tavares, Tiago Rodrigues ; Almeida, Eduardo de ; Pinheiro Junior, Carlos Roberto ; Guerrero, Angela; Fiorio, Peterson Ricardo ; Carvalho, Hudson Wallace Pereira de
Fonte: AgriEngineering. Unidades: ESALQ, CENA
Assuntos: NUTRIENTES MINERAIS DO SOLO, FLUORESCÊNCIA, ESPECTROSCOPIA DE RAIO X, ANÁLISE DO SOLO, QUÍMICA VERDE, SENSORIAMENTO REMOTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TAVARES, Tiago Rodrigues et al. Analysis of total soil nutrient content with X-ray fluorescence spectroscopy (XRF): assessing different predictive modeling strategies and auxiliary variable. AgriEngineering, v. 5, p. 680–697, 2023Tradução . . Disponível em: https://doi.org/10.3390/agriengineering5020043. Acesso em: 07 out. 2025.
APA
Tavares, T. R., Almeida, E. de, Pinheiro Junior, C. R., Guerrero, A., Fiorio, P. R., & Carvalho, H. W. P. de. (2023). Analysis of total soil nutrient content with X-ray fluorescence spectroscopy (XRF): assessing different predictive modeling strategies and auxiliary variable. AgriEngineering, 5, 680–697. doi:10.3390/agriengineering5020043
NLM
Tavares TR, Almeida E de, Pinheiro Junior CR, Guerrero A, Fiorio PR, Carvalho HWP de. Analysis of total soil nutrient content with X-ray fluorescence spectroscopy (XRF): assessing different predictive modeling strategies and auxiliary variable [Internet]. AgriEngineering. 2023 ; 5 680–697.[citado 2025 out. 07 ] Available from: https://doi.org/10.3390/agriengineering5020043
Vancouver
Tavares TR, Almeida E de, Pinheiro Junior CR, Guerrero A, Fiorio PR, Carvalho HWP de. Analysis of total soil nutrient content with X-ray fluorescence spectroscopy (XRF): assessing different predictive modeling strategies and auxiliary variable [Internet]. AgriEngineering. 2023 ; 5 680–697.[citado 2025 out. 07 ] Available from: https://doi.org/10.3390/agriengineering5020043
Artigo de periodico
Spectral mixture modeling of an ASTER bare soil synthetic image using a representative spectral library to map soils in central-Brazil (2023)
Novais, Jean Jesus ; Poppiel, Raul Roberto ; Lacerda, Marilusa P. C ; Oliveira, Manuel P; Demattê, José Alexandre Melo
Fonte: AgriEngineering. Unidade: ESALQ
Assuntos: ALGORITMOS, CLASSIFICAÇÃO DO SOLO, ESPECTROSCOPIA, MAPEAMENTO DO SOLO, MODELAGEM DE DADOS, PEDOLOGIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NOVAIS, Jean Jesus et al. Spectral mixture modeling of an ASTER bare soil synthetic image using a representative spectral library to map soils in central-Brazil. AgriEngineering, v. 5, p. 156-172, 2023Tradução . . Disponível em: https://doi.org/10.3390/agriengineering5010011. Acesso em: 07 out. 2025.
APA
Novais, J. J., Poppiel, R. R., Lacerda, M. P. C., Oliveira, M. P., & Demattê, J. A. M. (2023). Spectral mixture modeling of an ASTER bare soil synthetic image using a representative spectral library to map soils in central-Brazil. AgriEngineering, 5, 156-172. doi:10.3390/agriengineering5010011
NLM
Novais JJ, Poppiel RR, Lacerda MPC, Oliveira MP, Demattê JAM. Spectral mixture modeling of an ASTER bare soil synthetic image using a representative spectral library to map soils in central-Brazil [Internet]. AgriEngineering. 2023 ; 5 156-172.[citado 2025 out. 07 ] Available from: https://doi.org/10.3390/agriengineering5010011
Vancouver
Novais JJ, Poppiel RR, Lacerda MPC, Oliveira MP, Demattê JAM. Spectral mixture modeling of an ASTER bare soil synthetic image using a representative spectral library to map soils in central-Brazil [Internet]. AgriEngineering. 2023 ; 5 156-172.[citado 2025 out. 07 ] Available from: https://doi.org/10.3390/agriengineering5010011
Artigo de periodico
VNIR-SWIR Spectroscopy, XRD and traditional analyses for pedomorphogeological assessment in a tropical toposequence (2023)
Novais, Jean de Jesus ; Poppiel, Raúl Roberto ; Lacerda, Marilusa P. C ; Demattê, José Alexandre Melo
Fonte: AgriEngineering. Unidade: ESALQ
Assuntos: GÊNESE DO SOLO, SOLO HIDROMÓRFICO, INTEMPERISMO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NOVAIS, Jean de Jesus et al. VNIR-SWIR Spectroscopy, XRD and traditional analyses for pedomorphogeological assessment in a tropical toposequence. AgriEngineering, v. 5, p. 1581–1598, 2023Tradução . . Disponível em: https://doi.org/10.3390/agriengineering5030098. Acesso em: 07 out. 2025.
APA
Novais, J. de J., Poppiel, R. R., Lacerda, M. P. C., & Demattê, J. A. M. (2023). VNIR-SWIR Spectroscopy, XRD and traditional analyses for pedomorphogeological assessment in a tropical toposequence. AgriEngineering, 5, 1581–1598. doi:10.3390/agriengineering5030098
NLM
Novais J de J, Poppiel RR, Lacerda MPC, Demattê JAM. VNIR-SWIR Spectroscopy, XRD and traditional analyses for pedomorphogeological assessment in a tropical toposequence [Internet]. AgriEngineering. 2023 ; 5 1581–1598.[citado 2025 out. 07 ] Available from: https://doi.org/10.3390/agriengineering5030098
Vancouver
Novais J de J, Poppiel RR, Lacerda MPC, Demattê JAM. VNIR-SWIR Spectroscopy, XRD and traditional analyses for pedomorphogeological assessment in a tropical toposequence [Internet]. AgriEngineering. 2023 ; 5 1581–1598.[citado 2025 out. 07 ] Available from: https://doi.org/10.3390/agriengineering5030098

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