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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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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: 08 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. 08 ] 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. 08 ] 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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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: 08 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. 08 ] 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. 08 ] Available from: https://doi.org/10.3390/agriengineering7010021
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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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: 08 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. 08 ] 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. 08 ] 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: 08 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. 08 ] 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. 08 ] Available from: https://dx.doi.org/10.3390/agriengineering6040200
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: 08 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. 08 ] 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. 08 ] Available from: https://doi.org/10.3390/agriengineering6020102
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: 08 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. 08 ] 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. 08 ] Available from: https://doi.org/10.3390/agriengineering6040229
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
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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: 08 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. 08 ] 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. 08 ] Available from: https://doi.org/10.3390/agriengineering6030168
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
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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: 08 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. 08 ] 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. 08 ] 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: 08 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. 08 ] 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. 08 ] Available from: https://doi.org/10.3390/agriengineering5030098
Artigo de periodico
Digital mapping of topsoil texture classes using a hybridized classical statistics–artificial neural networks approach and relief data (2023)
Mallah, Sina ; Delsouz Khaki, Bahareh; Davatgar, Naser; Poppiel, Raul Roberto ; Demattê, José Alexandre Melo
Fonte: AgriEngineering. Unidade: ESALQ
Assuntos: GRANULOMETRIA DO SOLO, INTELIGÊNCIA ARTIFICIAL, MAPEAMENTO DO SOLO, REDES NEURAIS, RELEVO, TEXTURA DO SOLO
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ABNT
MALLAH, Sina et al. Digital mapping of topsoil texture classes using a hybridized classical statistics–artificial neural networks approach and relief data. AgriEngineering, v. 5, p. 40–64, 2023Tradução . . Disponível em: https://doi.org/10.3390/agriengineering5010004. Acesso em: 08 out. 2025.
APA
Mallah, S., Delsouz Khaki, B., Davatgar, N., Poppiel, R. R., & Demattê, J. A. M. (2023). Digital mapping of topsoil texture classes using a hybridized classical statistics–artificial neural networks approach and relief data. AgriEngineering, 5, 40–64. doi:10.3390/agriengineering5010004
NLM
Mallah S, Delsouz Khaki B, Davatgar N, Poppiel RR, Demattê JAM. Digital mapping of topsoil texture classes using a hybridized classical statistics–artificial neural networks approach and relief data [Internet]. AgriEngineering. 2023 ; 5 40–64.[citado 2025 out. 08 ] Available from: https://doi.org/10.3390/agriengineering5010004
Vancouver
Mallah S, Delsouz Khaki B, Davatgar N, Poppiel RR, Demattê JAM. Digital mapping of topsoil texture classes using a hybridized classical statistics–artificial neural networks approach and relief data [Internet]. AgriEngineering. 2023 ; 5 40–64.[citado 2025 out. 08 ] Available from: https://doi.org/10.3390/agriengineering5010004

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