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Artigo de periodico
A remote sensing approach to estimate the load bearing capacity of soil (2022)
Souza, Italo Rômulo Mendes de; Sano, Edson Eyji; Lima, Renato Paiva de ; Silva, Anderson Rodrigo da
Source: Information Processing in Agriculture. Unidade: ESALQ
Subjects: COMPACTAÇÃO DOS SOLOS, IMAGEAMENTO DE SATÉLITE, SENSORIAMENTO REMOTO, SOLO DE CERRADO, UMIDADE DO SOLO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUZA, Italo Rômulo Mendes de et al. A remote sensing approach to estimate the load bearing capacity of soil. Information Processing in Agriculture, p. 1-8, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.inpa.2022.10.002. Acesso em: 01 maio 2024.
APA
Souza, I. R. M. de, Sano, E. E., Lima, R. P. de, & Silva, A. R. da. (2022). A remote sensing approach to estimate the load bearing capacity of soil. Information Processing in Agriculture, 1-8. doi:10.1016/j.inpa.2022.10.002
NLM
Souza IRM de, Sano EE, Lima RP de, Silva AR da. A remote sensing approach to estimate the load bearing capacity of soil [Internet]. Information Processing in Agriculture. 2022 ; 1-8.[citado 2024 maio 01 ] Available from: https://doi.org/10.1016/j.inpa.2022.10.002
Vancouver
Souza IRM de, Sano EE, Lima RP de, Silva AR da. A remote sensing approach to estimate the load bearing capacity of soil [Internet]. Information Processing in Agriculture. 2022 ; 1-8.[citado 2024 maio 01 ] Available from: https://doi.org/10.1016/j.inpa.2022.10.002
Artigo de periodico
A survey of semantic web technology for agriculture (2019)
Drury, Brett ; Fernandes, Robson ; Moura, Maria Fernanda ; Lopes, Alneu de Andrade
Source: Information Processing in Agriculture. Unidade: ICMC
Subjects: WEB SEMÂNTICA, ONTOLOGIA, AGRICULTURA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DRURY, Brett et al. A survey of semantic web technology for agriculture. Information Processing in Agriculture, v. 6, n. 4, p. 487-501, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.inpa.2019.02.001. Acesso em: 01 maio 2024.
APA
Drury, B., Fernandes, R., Moura, M. F., & Lopes, A. de A. (2019). A survey of semantic web technology for agriculture. Information Processing in Agriculture, 6( 4), 487-501. doi:10.1016/j.inpa.2019.02.001
NLM
Drury B, Fernandes R, Moura MF, Lopes A de A. A survey of semantic web technology for agriculture [Internet]. Information Processing in Agriculture. 2019 ; 6( 4): 487-501.[citado 2024 maio 01 ] Available from: https://doi.org/10.1016/j.inpa.2019.02.001
Vancouver
Drury B, Fernandes R, Moura MF, Lopes A de A. A survey of semantic web technology for agriculture [Internet]. Information Processing in Agriculture. 2019 ; 6( 4): 487-501.[citado 2024 maio 01 ] Available from: https://doi.org/10.1016/j.inpa.2019.02.001
Artigo de periodico
Using support vector machines and neural networks to classify merlot wines from south america (2018)
Costa, Nattane Luíza; Llobodanin, Laura Andrea García; Castro, Inar Alves de ; Barbosa, Rommel
Source: Information Processing in Agriculture. Unidade: FCF
Assunto: VINHO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COSTA, Nattane Luíza et al. Using support vector machines and neural networks to classify merlot wines from south america. Information Processing in Agriculture, v. 6, p. 265-278, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.inpa.2018.10.003. Acesso em: 01 maio 2024.
APA
Costa, N. L., Llobodanin, L. A. G., Castro, I. A. de, & Barbosa, R. (2018). Using support vector machines and neural networks to classify merlot wines from south america. Information Processing in Agriculture, 6, 265-278. doi:10.1016/j.inpa.2018.10.003
NLM
Costa NL, Llobodanin LAG, Castro IA de, Barbosa R. Using support vector machines and neural networks to classify merlot wines from south america [Internet]. Information Processing in Agriculture. 2018 ; 6 265-278.[citado 2024 maio 01 ] Available from: https://doi.org/10.1016/j.inpa.2018.10.003
Vancouver
Costa NL, Llobodanin LAG, Castro IA de, Barbosa R. Using support vector machines and neural networks to classify merlot wines from south america [Internet]. Information Processing in Agriculture. 2018 ; 6 265-278.[citado 2024 maio 01 ] Available from: https://doi.org/10.1016/j.inpa.2018.10.003
Artigo de periodico
Multielement determination in orange juice by ICP-MS associated with data mining for the classification of organic samples (2017)
Turra, Christian; Lima, Márcio Dias de; Fernandes, Elisabete Aparecida de Nadai ; Bacchi, Márcio Arruda; Barbosa Junior, Fernando; Barbosa, Rommel Melgaço
Source: Information Processing in Agriculture. Unidade: CENA
Subjects: MINERAÇÃO DE DADOS, ELEMENTOS QUÍMICOS, SUCOS DE FRUTAS, ESPECTROMETRIA DE MASSAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TURRA, Christian et al. Multielement determination in orange juice by ICP-MS associated with data mining for the classification of organic samples. Information Processing in Agriculture, v. 4, n. 3, p. 199-205, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.inpa.2017.05.004. Acesso em: 01 maio 2024.
APA
Turra, C., Lima, M. D. de, Fernandes, E. A. de N., Bacchi, M. A., Barbosa Junior, F., & Barbosa, R. M. (2017). Multielement determination in orange juice by ICP-MS associated with data mining for the classification of organic samples. Information Processing in Agriculture, 4( 3), 199-205. doi:10.1016/j.inpa.2017.05.004
NLM
Turra C, Lima MD de, Fernandes EA de N, Bacchi MA, Barbosa Junior F, Barbosa RM. Multielement determination in orange juice by ICP-MS associated with data mining for the classification of organic samples [Internet]. Information Processing in Agriculture. 2017 ; 4( 3): 199-205.[citado 2024 maio 01 ] Available from: https://doi.org/10.1016/j.inpa.2017.05.004
Vancouver
Turra C, Lima MD de, Fernandes EA de N, Bacchi MA, Barbosa Junior F, Barbosa RM. Multielement determination in orange juice by ICP-MS associated with data mining for the classification of organic samples [Internet]. Information Processing in Agriculture. 2017 ; 4( 3): 199-205.[citado 2024 maio 01 ] Available from: https://doi.org/10.1016/j.inpa.2017.05.004

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