ReP USP - Resultado da busca

Artigo de periodico
Effects of infield transshipment traffic in mechanized sugarcane harvest on soil physical properties and pore functions (2026)
Esteban, Diego Alexander Aguilera ; Souza, Zigomar Menezes de; Tormena, Cássio Antonio ; Gomes, Mayara Germana dos Santos ; Parra, Jeison Andrey Sanchez; Varón-Ramirez, Viviana Marcela ; Moraes, Moacir Tuzzin de ; Lima, Renato Paiva de
Source: AgriEngineering. Unidade: ESALQ
Subjects: AR DO SOLO, CANA-DE-AÇÚCAR, COLHEITA, CONDUTIVIDADE HIDRÁULICA DO SOLO, CONTROLE DE TRÁFEGO, MECANIZAÇÃO AGRÍCOLA, SOLOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ESTEBAN, Diego Alexander Aguilera et al. Effects of infield transshipment traffic in mechanized sugarcane harvest on soil physical properties and pore functions. AgriEngineering, v. 8, p. 1-22, 2026Tradução . . Disponível em: https://doi.org/10.3390/agriengineering8030082. Acesso em: 14 abr. 2026.
APA
Esteban, D. A. A., Souza, Z. M. de, Tormena, C. A., Gomes, M. G. dos S., Parra, J. A. S., Varón-Ramirez, V. M., et al. (2026). Effects of infield transshipment traffic in mechanized sugarcane harvest on soil physical properties and pore functions. AgriEngineering, 8, 1-22. doi:10.3390/agriengineering8030082
NLM
Esteban DAA, Souza ZM de, Tormena CA, Gomes MG dos S, Parra JAS, Varón-Ramirez VM, Moraes MT de, Lima RP de. Effects of infield transshipment traffic in mechanized sugarcane harvest on soil physical properties and pore functions [Internet]. AgriEngineering. 2026 ; 8 1-22.[citado 2026 abr. 14 ] Available from: https://doi.org/10.3390/agriengineering8030082
Vancouver
Esteban DAA, Souza ZM de, Tormena CA, Gomes MG dos S, Parra JAS, Varón-Ramirez VM, Moraes MT de, Lima RP de. Effects of infield transshipment traffic in mechanized sugarcane harvest on soil physical properties and pore functions [Internet]. AgriEngineering. 2026 ; 8 1-22.[citado 2026 abr. 14 ] Available from: https://doi.org/10.3390/agriengineering8030082
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
Source: AgriEngineering. Unidade: ESALQ
Subjects: AGRICULTURA DE PRECISÃO, AMOSTRAGEM, ANÁLISE DE COVARIÂNCIA, INSETOS NOCIVOS, MANEJO INTEGRADO, PRAGAS DE PLANTAS, SENSORIAMENTO REMOTO, SOJA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 14 abr. 2026.
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 2026 abr. 14 ] 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 2026 abr. 14 ] Available from: https://doi.org/10.3390/agriengineering7010021
Artigo de periodico
Evaluation of the flow properties of coffea canephora during storage as affected by roasting level, particle size, and storage temperature (2025)
Oliveira, Gabriel Henrique Horta de ; Correa, Paulo Cesar; Oliveira, Ana Paula Lelis Rodrigues de; Vargas-Elías, Guillermo Asdrúbal; Calil Júnior, Carlito
Source: AgriEngineering. Unidade: EESC
Subjects: CAFÉ, CAFEICULTURA, TORREFAÇÃO, PÓS-COLHEITA, MOAGEM, ESTRUTURAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Gabriel Henrique Horta de et al. Evaluation of the flow properties of coffea canephora during storage as affected by roasting level, particle size, and storage temperature. AgriEngineering, v. 7, n. 3, p. 1-15, 2025Tradução . . Disponível em: https://dx.doi.org/10.3390/agriengineering7030084. Acesso em: 14 abr. 2026.
APA
Oliveira, G. H. H. de, Correa, P. C., Oliveira, A. P. L. R. de, Vargas-Elías, G. A., & Calil Júnior, C. (2025). Evaluation of the flow properties of coffea canephora during storage as affected by roasting level, particle size, and storage temperature. AgriEngineering, 7( 3), 1-15. doi:10.3390/agriengineering7030084
NLM
Oliveira GHH de, Correa PC, Oliveira APLR de, Vargas-Elías GA, Calil Júnior C. Evaluation of the flow properties of coffea canephora during storage as affected by roasting level, particle size, and storage temperature [Internet]. AgriEngineering. 2025 ; 7( 3): 1-15.[citado 2026 abr. 14 ] Available from: https://dx.doi.org/10.3390/agriengineering7030084
Vancouver
Oliveira GHH de, Correa PC, Oliveira APLR de, Vargas-Elías GA, Calil Júnior C. Evaluation of the flow properties of coffea canephora during storage as affected by roasting level, particle size, and storage temperature [Internet]. AgriEngineering. 2025 ; 7( 3): 1-15.[citado 2026 abr. 14 ] Available from: https://dx.doi.org/10.3390/agriengineering7030084
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
Source: AgriEngineering. Unidade: ESALQ
Subjects: FRANGOS DE CORTE, PESOS E MEDIDAS CORPORAIS, ZOOTECNIA DE PRECISÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 14 abr. 2026.
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 2026 abr. 14 ] 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 2026 abr. 14 ] Available from: https://doi.org/10.3390/agriengineering7050141
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
Source: AgriEngineering. Unidade: ESALQ
Subjects: AVICULTURA, BEM-ESTAR DO ANIMAL, ROBÔS, ROBÓTICA, SENSOR, ZOOTECNIA DE PRECISÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 14 abr. 2026.
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 2026 abr. 14 ] 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 2026 abr. 14 ] Available from: https://doi.org/10.3390/agriengineering7070233
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
Source: AgriEngineering. Unidade: ESALQ
Subjects: BOMBAS HIDRÁULICAS, CONTROLADORES PROGRAMÁVEIS, IRRIGAÇÃO, MOTORES ELÉTRICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 14 abr. 2026.
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 2026 abr. 14 ] 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 2026 abr. 14 ] Available from: https://doi.org/10.3390/agriengineering7090298
Artigo de periodico
Unmanned aerial vehicles and low-cost sensors for monitoring biophysical parameters of sugarcane (2025)
Martello, Maurício ; Silva, Mateus Lima ; Silva, Carlos Augusto Alves Cardoso ; Rizzo, Rodnei ; Oliveira, Ana Karla da Silva ; Fiorio, Peterson Ricardo
Source: AgriEngineering. Unidades: ESALQ, CENA
Subjects: AERONAVES NÃO TRIPULADAS, CANA-DE-AÇÚCAR, FERTILIZANTES NITROGENADOS, IMAGEM DIGITAL, INFRAVERMELHO, MODELAGEM DE DADOS, SENSORIAMENTO REMOTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MARTELLO, Maurício et al. Unmanned aerial vehicles and low-cost sensors for monitoring biophysical parameters of sugarcane. AgriEngineering, v. 7, p. 1-18, 2025Tradução . . Disponível em: https://doi.org/10.3390/agriengineering7120403. Acesso em: 14 abr. 2026.
APA
Martello, M., Silva, M. L., Silva, C. A. A. C., Rizzo, R., Oliveira, A. K. da S., & Fiorio, P. R. (2025). Unmanned aerial vehicles and low-cost sensors for monitoring biophysical parameters of sugarcane. AgriEngineering, 7, 1-18. doi:10.3390/agriengineering7120403
NLM
Martello M, Silva ML, Silva CAAC, Rizzo R, Oliveira AK da S, Fiorio PR. Unmanned aerial vehicles and low-cost sensors for monitoring biophysical parameters of sugarcane [Internet]. AgriEngineering. 2025 ; 7 1-18.[citado 2026 abr. 14 ] Available from: https://doi.org/10.3390/agriengineering7120403
Vancouver
Martello M, Silva ML, Silva CAAC, Rizzo R, Oliveira AK da S, Fiorio PR. Unmanned aerial vehicles and low-cost sensors for monitoring biophysical parameters of sugarcane [Internet]. AgriEngineering. 2025 ; 7 1-18.[citado 2026 abr. 14 ] Available from: https://doi.org/10.3390/agriengineering7120403
Artigo de periodico
Using machine learning and RGB images to assess nitrogen and potassium status in sorghum (Sorghum bicolor L.) under field conditions (2025)
Martins, Guilherme Augusto; Baesso, Murilo Mesquita ; Devechio, Fernanda de Fátima da Silva ; Tech, Adriano Rogério Bruno ; Regazzo, Jamile Raquel ; Ricci, Carlos Eduardo Nunes ; Leão, Murilo de Lima
Source: AgriEngineering. Unidades: FZEA, ESALQ
Subjects: APRENDIZADO COMPUTACIONAL, ESTADO NUTRICIONAL, IMAGEM DIGITAL, NUTRIÇÃO VEGETAL, NUTRIENTES MINERAIS DO SOLO, POTÁSSIO, SORGO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MARTINS, Guilherme Augusto et al. Using machine learning and RGB images to assess nitrogen and potassium status in sorghum (Sorghum bicolor L.) under field conditions. AgriEngineering, v. 7, p. 1-17, 2025Tradução . . Disponível em: https://doi.org/10.3390/agriengineering7110367. Acesso em: 14 abr. 2026.
APA
Martins, G. A., Baesso, M. M., Devechio, F. de F. da S., Tech, A. R. B., Regazzo, J. R., Ricci, C. E. N., & Leão, M. de L. (2025). Using machine learning and RGB images to assess nitrogen and potassium status in sorghum (Sorghum bicolor L.) under field conditions. AgriEngineering, 7, 1-17. doi:10.3390/agriengineering7110367
NLM
Martins GA, Baesso MM, Devechio F de F da S, Tech ARB, Regazzo JR, Ricci CEN, Leão M de L. Using machine learning and RGB images to assess nitrogen and potassium status in sorghum (Sorghum bicolor L.) under field conditions [Internet]. AgriEngineering. 2025 ; 7 1-17.[citado 2026 abr. 14 ] Available from: https://doi.org/10.3390/agriengineering7110367
Vancouver
Martins GA, Baesso MM, Devechio F de F da S, Tech ARB, Regazzo JR, Ricci CEN, Leão M de L. Using machine learning and RGB images to assess nitrogen and potassium status in sorghum (Sorghum bicolor L.) under field conditions [Internet]. AgriEngineering. 2025 ; 7 1-17.[citado 2026 abr. 14 ] Available from: https://doi.org/10.3390/agriengineering7110367
Artigo de periodico
Hydrogel soil conditioner as an input for ornamental sunflower production under saline water irrigation: an alternative use for low-quality water low-quality water (2025)
Marques, Patricia Angélica Alves ; Martins, Juliana Bezerra ; Santos Júnior, José Amilton ; Aprilanti, Tamara Maria Gomes ; Coelho, Rubens Duarte ; Fritsche-Neto, Roberto ; Vila, Vinicus Villa e
Source: AgriEngineering. Unidades: ESALQ, FZEA
Subjects: ÁGUA PARA IRRIGAÇÃO, CONDICIONADORES DO SOLO, GIRASSOL, IRRIGAÇÃO, SALINIDADE DA ÁGUA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MARQUES, Patricia Angélica Alves et al. Hydrogel soil conditioner as an input for ornamental sunflower production under saline water irrigation: an alternative use for low-quality water low-quality water. AgriEngineering, v. 7, p. 1-17, 2025Tradução . . Disponível em: https://doi.org/10.3390/agriengineering7100344. Acesso em: 14 abr. 2026.
APA
Marques, P. A. A., Martins, J. B., Santos Júnior, J. A., Aprilanti, T. M. G., Coelho, R. D., Fritsche-Neto, R., & Vila, V. V. e. (2025). Hydrogel soil conditioner as an input for ornamental sunflower production under saline water irrigation: an alternative use for low-quality water low-quality water. AgriEngineering, 7, 1-17. doi:10.3390/agriengineering7100344
NLM
Marques PAA, Martins JB, Santos Júnior JA, Aprilanti TMG, Coelho RD, Fritsche-Neto R, Vila VV e. Hydrogel soil conditioner as an input for ornamental sunflower production under saline water irrigation: an alternative use for low-quality water low-quality water [Internet]. AgriEngineering. 2025 ; 7 1-17.[citado 2026 abr. 14 ] Available from: https://doi.org/10.3390/agriengineering7100344
Vancouver
Marques PAA, Martins JB, Santos Júnior JA, Aprilanti TMG, Coelho RD, Fritsche-Neto R, Vila VV e. Hydrogel soil conditioner as an input for ornamental sunflower production under saline water irrigation: an alternative use for low-quality water low-quality water [Internet]. AgriEngineering. 2025 ; 7 1-17.[citado 2026 abr. 14 ] Available from: https://doi.org/10.3390/agriengineering7100344
Artigo de periodico
Machine learning in the classification of RGB images of maize (Zea mays L.) using texture attributes and different doses of nitrogen (2025)
Silva, Thiago Lima da ; Devechio, Fernanda de Fátima da Silva ; Tavares, Marcos Silva ; Regazzo, Jamile Raquel ; Sardinha, Edson José de Souza ; Altão, Liliane Maria Romualdo; Oliveira, Gabriel Pagin de Carvalho Nunes ; Tech, Adriano Rogério Bruno ; Baesso, Murilo Mesquita
Source: AgriEngineering. Unidades: FZEA, ESALQ
Subjects: APRENDIZADO COMPUTACIONAL, DIAGNOSE FOLIAR, FERTILIZANTES NITROGENADOS, MILHO, NITROGÊNIO, NUTRIÇÃO VEGETAL, PROCESSAMENTO DE IMAGENS, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Thiago Lima da et al. Machine learning in the classification of RGB images of maize (Zea mays L.) using texture attributes and different doses of nitrogen. AgriEngineering, v. 7, p. 1-22, 2025Tradução . . Disponível em: https://doi.org/10.3390/agriengineering7100317. Acesso em: 14 abr. 2026.
APA
Silva, T. L. da, Devechio, F. de F. da S., Tavares, M. S., Regazzo, J. R., Sardinha, E. J. de S., Altão, L. M. R., et al. (2025). Machine learning in the classification of RGB images of maize (Zea mays L.) using texture attributes and different doses of nitrogen. AgriEngineering, 7, 1-22. doi:10.3390/agriengineering7100317
NLM
Silva TL da, Devechio F de F da S, Tavares MS, Regazzo JR, Sardinha EJ de S, Altão LMR, Oliveira GP de CN, Tech ARB, Baesso MM. Machine learning in the classification of RGB images of maize (Zea mays L.) using texture attributes and different doses of nitrogen [Internet]. AgriEngineering. 2025 ; 7 1-22.[citado 2026 abr. 14 ] Available from: https://doi.org/10.3390/agriengineering7100317
Vancouver
Silva TL da, Devechio F de F da S, Tavares MS, Regazzo JR, Sardinha EJ de S, Altão LMR, Oliveira GP de CN, Tech ARB, Baesso MM. Machine learning in the classification of RGB images of maize (Zea mays L.) using texture attributes and different doses of nitrogen [Internet]. AgriEngineering. 2025 ; 7 1-22.[citado 2026 abr. 14 ] Available from: https://doi.org/10.3390/agriengineering7100317
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
Source: AgriEngineering. Unidade: ESALQ
Subjects: 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: 14 abr. 2026.
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 2026 abr. 14 ] 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 2026 abr. 14 ] 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
Source: AgriEngineering. Unidade: ESALQ
Subjects: 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: 14 abr. 2026.
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 2026 abr. 14 ] 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 2026 abr. 14 ] Available from: https://doi.org/10.3390/agriengineering6030168
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
Source: AgriEngineering. Unidade: ESALQ
Subjects: BANANA, BANANICULTURA, ANÁLISE DE CONGLOMERADOS, COMPONENTES PRINCIPAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 14 abr. 2026.
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 2026 abr. 14 ] 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 2026 abr. 14 ] Available from: https://doi.org/10.3390/agriengineering6030163
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
Source: AgriEngineering. Unidades: ESALQ, CENA
Subjects: AÇÚCAR, ÁGUA DO SOLO, BIOMASSA, CANA-DE-AÇÚCAR, DEFICIT HÍDRICO, ETANOL, IRRIGAÇÃO POR GOTEJAMENTO, VARIEDADES VEGETAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 14 abr. 2026.
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 2026 abr. 14 ] 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 2026 abr. 14 ] Available from: https://doi.org/10.3390/agriengineering6020064
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
Source: AgriEngineering. Unidades: FZEA, ESALQ
Subjects: ADUBAÇÃO FOLIAR, APRENDIZADO COMPUTACIONAL, FERTILIZANTES NITROGENADOS, MORANGO, NITROGÊNIO, NUTRIÇÃO VEGETAL, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 14 abr. 2026.
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 2026 abr. 14 ] 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 2026 abr. 14 ] Available from: https://doi.org/10.3390/agriengineering6020102
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
Source: AgriEngineering. Unidades: ESALQ, EESC, ICMC, EP, IEA
Subjects: APRENDIZADO COMPUTACIONAL, ESTUDO DE CASO, IRRIGAÇÃO, QUALIDADE DA ÁGUA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 14 abr. 2026.
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 2026 abr. 14 ] 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 2026 abr. 14 ] Available from: https://doi.org/10.3390/agriengineering6020103
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/10.3390/agriengineering6020053. Acesso em: 14 abr. 2026.
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 2026 abr. 14 ] Available from: https://doi.org/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 2026 abr. 14 ] Available from: https://doi.org/10.3390/agriengineering6020053
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
Source: AgriEngineering. Unidade: EESC
Subjects: VISÃO COMPUTACIONAL, AGRICULTURA DE PRECISÃO, AMENDOIM, ENGENHARIA MECÂNICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 14 abr. 2026.
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 2026 abr. 14 ] 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 2026 abr. 14 ] 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
Source: AgriEngineering. Unidade: ESALQ
Subjects: AGROCLIMATOLOGIA, ANÁLISE FATORIAL, APRENDIZADO COMPUTACIONAL, CAFÉ, MODELAGEM DE DADOS, VARIEDADES VEGETAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 14 abr. 2026.
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 2026 abr. 14 ] 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 2026 abr. 14 ] 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
Source: AgriEngineering. Unidade: ESALQ
Subjects: AGRICULTURA DE PRECISÃO, APRENDIZADO COMPUTACIONAL, CANA-DE-AÇÚCAR, COLHEDORAS, COLHEITA, MECANIZAÇÃO AGRÍCOLA, VALORES ATÍPICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 14 abr. 2026.
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 2026 abr. 14 ] 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 2026 abr. 14 ] Available from: https://doi.org/10.3390/agriengineering6040275

USP Schools

ReP

Filtros

USP Schools

Departament

Authors

USP affiliated authors

Date published

Subjects

Funding Agencies

Non normalized affiliation

Countries of institutions of collaboration