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Artigo de periodico
Analysis of green manure decomposition parameters in northeast Brazil using association rule networks (2019)
Calçada, Dario Brito; Rezende, Solange Oliveira ; Teodoro, Mauro Sergio
Fonte: Computers and Electronics in Agriculture. Unidade: ICMC
Assuntos: MINERAÇÃO DE DADOS, RECONHECIMENTO DE PADRÕES, AGRICULTURA DE PRECISÃO, ADUBO VERDE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CALÇADA, Dario Brito e REZENDE, Solange Oliveira e TEODORO, Mauro Sergio. Analysis of green manure decomposition parameters in northeast Brazil using association rule networks. Computers and Electronics in Agriculture, v. 159, p. 34-41, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2019.02.013. Acesso em: 15 nov. 2025.
APA
Calçada, D. B., Rezende, S. O., & Teodoro, M. S. (2019). Analysis of green manure decomposition parameters in northeast Brazil using association rule networks. Computers and Electronics in Agriculture, 159, 34-41. doi:10.1016/j.compag.2019.02.013
NLM
Calçada DB, Rezende SO, Teodoro MS. Analysis of green manure decomposition parameters in northeast Brazil using association rule networks [Internet]. Computers and Electronics in Agriculture. 2019 ; 159 34-41.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1016/j.compag.2019.02.013
Vancouver
Calçada DB, Rezende SO, Teodoro MS. Analysis of green manure decomposition parameters in northeast Brazil using association rule networks [Internet]. Computers and Electronics in Agriculture. 2019 ; 159 34-41.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1016/j.compag.2019.02.013
Artigo de periodico
Time Stable Representative Position determination as affected by the considered part of an irrigation cycle (2019)
Silva, A. J. P; De Jong Van Lier, Quirijn ; Coelho, E. F
Fonte: Computers and Electronics in Agriculture. Unidade: CENA
Assuntos: IRRIGAÇÃO, SENSOR, UMIDADE DO SOLO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, A. J. P e DE JONG VAN LIER, Quirijn e COELHO, E. F. Time Stable Representative Position determination as affected by the considered part of an irrigation cycle. Computers and Electronics in Agriculture, v. 157, p. 281-287, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2019.01.002. Acesso em: 15 nov. 2025.
APA
Silva, A. J. P., De Jong Van Lier, Q., & Coelho, E. F. (2019). Time Stable Representative Position determination as affected by the considered part of an irrigation cycle. Computers and Electronics in Agriculture, 157, 281-287. doi:10.1016/j.compag.2019.01.002
NLM
Silva AJP, De Jong Van Lier Q, Coelho EF. Time Stable Representative Position determination as affected by the considered part of an irrigation cycle [Internet]. Computers and Electronics in Agriculture. 2019 ; 157 281-287.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1016/j.compag.2019.01.002
Vancouver
Silva AJP, De Jong Van Lier Q, Coelho EF. Time Stable Representative Position determination as affected by the considered part of an irrigation cycle [Internet]. Computers and Electronics in Agriculture. 2019 ; 157 281-287.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1016/j.compag.2019.01.002
Artigo de periodico
Infrared thermography as a non-invasive method for the evaluation of heat stress in pigs kept in pens free of cages in the maternity (2019)
Ricci, Gisele Dela; Silva-Miranda, Késia Oliveira da; Titto, Cristiane Gonçalves
Fonte: Computers and Electronics in Agriculture. Unidades: ESALQ, FZEA
Assuntos: CORTISOL, ESTRESSE, SUÍNOS, TEMPERATURA, TERMOGRAFIA
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ABNT
RICCI, Gisele Dela e SILVA-MIRANDA, Késia Oliveira da e TITTO, Cristiane Gonçalves. Infrared thermography as a non-invasive method for the evaluation of heat stress in pigs kept in pens free of cages in the maternity. Computers and Electronics in Agriculture, v. 157, p. 403-409, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2019.01.017. Acesso em: 15 nov. 2025.
APA
Ricci, G. D., Silva-Miranda, K. O. da, & Titto, C. G. (2019). Infrared thermography as a non-invasive method for the evaluation of heat stress in pigs kept in pens free of cages in the maternity. Computers and Electronics in Agriculture, 157, 403-409. doi:10.1016/j.compag.2019.01.017
NLM
Ricci GD, Silva-Miranda KO da, Titto CG. Infrared thermography as a non-invasive method for the evaluation of heat stress in pigs kept in pens free of cages in the maternity [Internet]. Computers and Electronics in Agriculture. 2019 ; 157 403-409.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1016/j.compag.2019.01.017
Vancouver
Ricci GD, Silva-Miranda KO da, Titto CG. Infrared thermography as a non-invasive method for the evaluation of heat stress in pigs kept in pens free of cages in the maternity [Internet]. Computers and Electronics in Agriculture. 2019 ; 157 403-409.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1016/j.compag.2019.01.017
Artigo de periodico
Predicting the botanical and geographical origin of honey with multivariate data analysis and machine learning techniques: a review (2019)
Maione, Camila; Barbosa Junior, Fernando ; Barbosa, Rommel Melgaço
Fonte: Computers and Electronics in Agriculture. Unidade: FCFRP
Assuntos: ANÁLISE DE DADOS, APRENDIZADO COMPUTACIONAL, ADULTERAÇÃO DE ALIMENTOS, MEL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MAIONE, Camila e BARBOSA JUNIOR, Fernando e BARBOSA, Rommel Melgaço. Predicting the botanical and geographical origin of honey with multivariate data analysis and machine learning techniques: a review. Computers and Electronics in Agriculture, v. 157, p. 436-446, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2019.01.020. Acesso em: 15 nov. 2025.
APA
Maione, C., Barbosa Junior, F., & Barbosa, R. M. (2019). Predicting the botanical and geographical origin of honey with multivariate data analysis and machine learning techniques: a review. Computers and Electronics in Agriculture, 157, 436-446. doi:10.1016/j.compag.2019.01.020
NLM
Maione C, Barbosa Junior F, Barbosa RM. Predicting the botanical and geographical origin of honey with multivariate data analysis and machine learning techniques: a review [Internet]. Computers and Electronics in Agriculture. 2019 ; 157 436-446.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1016/j.compag.2019.01.020
Vancouver
Maione C, Barbosa Junior F, Barbosa RM. Predicting the botanical and geographical origin of honey with multivariate data analysis and machine learning techniques: a review [Internet]. Computers and Electronics in Agriculture. 2019 ; 157 436-446.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1016/j.compag.2019.01.020
Artigo de periodico
Modeling cost and energy demand in agricultural machinery fleets for soybean and maize cultivated using a no-tillage system (2019)
Tieppo, Rafael Cesar ; Romanelli, Thiago Libório; Milan, Marcos; Sørensen, Claus Aage Grøn; Bochtis, Dionysis
Fonte: Computers and Electronics in Agriculture. Unidade: ESALQ
Assuntos: MÁQUINAS AGRÍCOLAS, MILHO, PLANTIO DIRETO, SOJA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TIEPPO, Rafael Cesar et al. Modeling cost and energy demand in agricultural machinery fleets for soybean and maize cultivated using a no-tillage system. Computers and Electronics in Agriculture, v. 156, p. 282-292, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2018.11.032. Acesso em: 15 nov. 2025.
APA
Tieppo, R. C., Romanelli, T. L., Milan, M., Sørensen, C. A. G., & Bochtis, D. (2019). Modeling cost and energy demand in agricultural machinery fleets for soybean and maize cultivated using a no-tillage system. Computers and Electronics in Agriculture, 156, 282-292. doi:10.1016/j.compag.2018.11.032
NLM
Tieppo RC, Romanelli TL, Milan M, Sørensen CAG, Bochtis D. Modeling cost and energy demand in agricultural machinery fleets for soybean and maize cultivated using a no-tillage system [Internet]. Computers and Electronics in Agriculture. 2019 ; 156 282-292.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1016/j.compag.2018.11.032
Vancouver
Tieppo RC, Romanelli TL, Milan M, Sørensen CAG, Bochtis D. Modeling cost and energy demand in agricultural machinery fleets for soybean and maize cultivated using a no-tillage system [Internet]. Computers and Electronics in Agriculture. 2019 ; 156 282-292.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1016/j.compag.2018.11.032

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