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Artigo de periodico
Crop residues stimulate yield-scaled greenhouse gas emissions In maize-wheat cropping rotation in a semi-arid climate (2024)
Mirzaei, M; Anari, Manouchehr Gorji; Cherubin, Maurício Roberto ; Saronjic, N; Mousavi, S. M. N; Rooien, A; Zaman, M; Caballero-Calvo, A
Fonte: Geography, Environment, Sustainability. Unidade: ESALQ
Assuntos: CONSORCIAÇÃO DE CULTURAS, EFEITO ESTUFA, GASES, MILHO, MUDANÇA CLIMÁTICA, PANTIO DIRETO, RESÍDUOS AGRÍCOLAS, TRIGO
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ABNT
MIRZAEI, M et al. Crop residues stimulate yield-scaled greenhouse gas emissions In maize-wheat cropping rotation in a semi-arid climate. Geography, Environment, Sustainability, v. 4, n. 16, p. 125-132, 2024Tradução . . Disponível em: https://doi.org/10.24057/2071-9388-2023-2629. Acesso em: 09 jun. 2024.
APA
Mirzaei, M., Anari, M. G., Cherubin, M. R., Saronjic, N., Mousavi, S. M. N., Rooien, A., et al. (2024). Crop residues stimulate yield-scaled greenhouse gas emissions In maize-wheat cropping rotation in a semi-arid climate. Geography, Environment, Sustainability, 4( 16), 125-132. doi:10.24057/2071-9388-2023-2629
NLM
Mirzaei M, Anari MG, Cherubin MR, Saronjic N, Mousavi SMN, Rooien A, Zaman M, Caballero-Calvo A. Crop residues stimulate yield-scaled greenhouse gas emissions In maize-wheat cropping rotation in a semi-arid climate [Internet]. Geography, Environment, Sustainability. 2024 ; 4( 16): 125-132.[citado 2024 jun. 09 ] Available from: https://doi.org/10.24057/2071-9388-2023-2629
Vancouver
Mirzaei M, Anari MG, Cherubin MR, Saronjic N, Mousavi SMN, Rooien A, Zaman M, Caballero-Calvo A. Crop residues stimulate yield-scaled greenhouse gas emissions In maize-wheat cropping rotation in a semi-arid climate [Internet]. Geography, Environment, Sustainability. 2024 ; 4( 16): 125-132.[citado 2024 jun. 09 ] Available from: https://doi.org/10.24057/2071-9388-2023-2629
Artigo de periodico
Evaluating differences among crop models in simulating soybean in-season growth (2024)
Kothari, Kritika; Battisti, Rafael; Marin, Fabio Ricardo ; Nehbandani, Alireza; Silva, Evandro H. F. N; Soltani, Afshin; Vieira Jr. Nilson A; Salmerón, Montserrat
Fonte: Field Crops Research. Unidade: ESALQ
Assuntos: CRESCIMENTO VEGETAL, ÍNDICE DE ÁREA FOLIAR, SAFRA, SIMULAÇÃO, SOJA
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ABNT
KOTHARI, Kritika et al. Evaluating differences among crop models in simulating soybean in-season growth. Field Crops Research, v. 309, p. 1-18, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.fcr.2024.109306. Acesso em: 09 jun. 2024.
APA
Kothari, K., Battisti, R., Marin, F. R., Nehbandani, A., Silva, E. H. F. N., Soltani, A., et al. (2024). Evaluating differences among crop models in simulating soybean in-season growth. Field Crops Research, 309, 1-18. doi:10.1016/j.fcr.2024.109306
NLM
Kothari K, Battisti R, Marin FR, Nehbandani A, Silva EHFN, Soltani A, Vieira Jr. Nilson A, Salmerón M. Evaluating differences among crop models in simulating soybean in-season growth [Internet]. Field Crops Research. 2024 ; 309 1-18.[citado 2024 jun. 09 ] Available from: https://doi.org/10.1016/j.fcr.2024.109306
Vancouver
Kothari K, Battisti R, Marin FR, Nehbandani A, Silva EHFN, Soltani A, Vieira Jr. Nilson A, Salmerón M. Evaluating differences among crop models in simulating soybean in-season growth [Internet]. Field Crops Research. 2024 ; 309 1-18.[citado 2024 jun. 09 ] Available from: https://doi.org/10.1016/j.fcr.2024.109306
Artigo de periodico
Spatializing soil elemental concentration as measured by X-ray fluorescence analysis using remote sensing data (2024)
Rosin, Nicolas Augusto ; Demattê, José Alexandre Melo ; Carvalho, Hudson Wallace Pereira de ; Rodríguez-Albarracín, Heidy Soledad ; Rosas, Jorge Tadeu Fim ; Novais, Jean de Jesus ; Dalmolin, Ricardo Simão Diniz ; Alves, Marcelo Rodrigo ; Falcioni, Renan ; Tziolas, Nikolaos ; Mallah, Sina ; Mello, Danilo César de ; Francelino, Márcio Rocha
Fonte: Catena. Unidades: ESALQ, CENA
Assuntos: MAPEAMENTO DO SOLO, MINERALOGIA, ESPECTROSCOPIA, RAIOS X
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ABNT
ROSIN, Nicolas Augusto et al. Spatializing soil elemental concentration as measured by X-ray fluorescence analysis using remote sensing data. Catena, v. 240, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.catena.2024.107988. Acesso em: 09 jun. 2024.
APA
Rosin, N. A., Demattê, J. A. M., Carvalho, H. W. P. de, Rodríguez-Albarracín, H. S., Rosas, J. T. F., Novais, J. de J., et al. (2024). Spatializing soil elemental concentration as measured by X-ray fluorescence analysis using remote sensing data. Catena, 240. doi:10.1016/j.catena.2024.107988
NLM
Rosin NA, Demattê JAM, Carvalho HWP de, Rodríguez-Albarracín HS, Rosas JTF, Novais J de J, Dalmolin RSD, Alves MR, Falcioni R, Tziolas N, Mallah S, Mello DC de, Francelino MR. Spatializing soil elemental concentration as measured by X-ray fluorescence analysis using remote sensing data [Internet]. Catena. 2024 ; 240[citado 2024 jun. 09 ] Available from: https://doi.org/10.1016/j.catena.2024.107988
Vancouver
Rosin NA, Demattê JAM, Carvalho HWP de, Rodríguez-Albarracín HS, Rosas JTF, Novais J de J, Dalmolin RSD, Alves MR, Falcioni R, Tziolas N, Mallah S, Mello DC de, Francelino MR. Spatializing soil elemental concentration as measured by X-ray fluorescence analysis using remote sensing data [Internet]. Catena. 2024 ; 240[citado 2024 jun. 09 ] Available from: https://doi.org/10.1016/j.catena.2024.107988
Artigo de periodico
Controlling factors in the variability of soil magnetic measures by machine learning and variable importance analysis (2023)
Azizi, Kamran; Ayoubi, Shamsollah ; Demattê, José Alexandre Melo
Fonte: Journal of Applied Geophysics. Unidade: ESALQ
Assuntos: APRENDIZADO COMPUTACIONAL, GEOPROCESSAMENTO, MAPEAMENTO DO SOLO, MINERAÇÃO DE DADOS, MODELAGEM DE DADOS, MONITORAÇÃO DOS SOLOS, USO DO SOLO
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ABNT
AZIZI, Kamran e AYOUBI, Shamsollah e DEMATTÊ, José Alexandre Melo. Controlling factors in the variability of soil magnetic measures by machine learning and variable importance analysis. Journal of Applied Geophysics, v. 210, p. 1-11, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.jappgeo.2023.104944. Acesso em: 09 jun. 2024.
APA
Azizi, K., Ayoubi, S., & Demattê, J. A. M. (2023). Controlling factors in the variability of soil magnetic measures by machine learning and variable importance analysis. Journal of Applied Geophysics, 210, 1-11. doi:10.1016/j.jappgeo.2023.104944
NLM
Azizi K, Ayoubi S, Demattê JAM. Controlling factors in the variability of soil magnetic measures by machine learning and variable importance analysis [Internet]. Journal of Applied Geophysics. 2023 ; 210 1-11.[citado 2024 jun. 09 ] Available from: https://doi.org/10.1016/j.jappgeo.2023.104944
Vancouver
Azizi K, Ayoubi S, Demattê JAM. Controlling factors in the variability of soil magnetic measures by machine learning and variable importance analysis [Internet]. Journal of Applied Geophysics. 2023 ; 210 1-11.[citado 2024 jun. 09 ] Available from: https://doi.org/10.1016/j.jappgeo.2023.104944
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: 09 jun. 2024.
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 2024 jun. 09 ] 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 2024 jun. 09 ] Available from: https://doi.org/10.3390/agriengineering5010004
Artigo de periodico
Quantification of some intrinsic soil properties using proximal sensing in arid lands: application of Vis-NIR, MIR, and pXRF spectroscopy (2022)
Naimi, Salman ; Ayoubi, Shamsollah ; Di Raimo, Luis Augusto Di Loreto ; Dematte, Jose Alexandre Melo
Fonte: Geoderma Regional. Unidade: ESALQ
Assuntos: ANÁLISE ESPECTRAL, ESPECTROSCOPIA INFRAVERMELHA, SENSORES ÓPTICOS, SOLO ÁRIDO
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ABNT
NAIMI, Salman et al. Quantification of some intrinsic soil properties using proximal sensing in arid lands: application of Vis-NIR, MIR, and pXRF spectroscopy. Geoderma Regional, v. 28, p. 1-15, 2022Tradução . . Disponível em: https://doi.org/10.1016/J.GEODRS.2022.E00484. Acesso em: 09 jun. 2024.
APA
Naimi, S., Ayoubi, S., Di Raimo, L. A. D. L., & Dematte, J. A. M. (2022). Quantification of some intrinsic soil properties using proximal sensing in arid lands: application of Vis-NIR, MIR, and pXRF spectroscopy. Geoderma Regional, 28, 1-15. doi:10.1016/J.GEODRS.2022.E00484
NLM
Naimi S, Ayoubi S, Di Raimo LADL, Dematte JAM. Quantification of some intrinsic soil properties using proximal sensing in arid lands: application of Vis-NIR, MIR, and pXRF spectroscopy [Internet]. Geoderma Regional. 2022 ; 28 1-15.[citado 2024 jun. 09 ] Available from: https://doi.org/10.1016/J.GEODRS.2022.E00484
Vancouver
Naimi S, Ayoubi S, Di Raimo LADL, Dematte JAM. Quantification of some intrinsic soil properties using proximal sensing in arid lands: application of Vis-NIR, MIR, and pXRF spectroscopy [Internet]. Geoderma Regional. 2022 ; 28 1-15.[citado 2024 jun. 09 ] Available from: https://doi.org/10.1016/J.GEODRS.2022.E00484
Artigo de periodico
Are soybean models ready for climate change food impact assessments? (2022)
Kothari, Kritika; Battisti, Rafael; Boote, Kenneth J; Archontoulis, Sotirios V; Constantin, Julie; Cuadra, Santiago V; Debaeke, Philippe; Faye, Babacar; Grant, Brian; Hoogenboom, Gerrit; Jing, Qi; van der Laan, Michael; Silva, Fernando Antônio Macena da; Marin, Fabio Ricardo ; Nehbandani, Alireza; Nendel, Claas; Purcell, Larry C; Qian, Budong; Ruane, Alex C; Schoving, Céline; Silva, Evandro H. F. M ; Smith, Ward; Soltani, Afshin; Srivastava, Amit; Vieira Junior, Nilson A ; Slone, Stacey; Salmerón, Montserrat
Fonte: European Journal of Agronomy. Unidade: ESALQ
Assuntos: DIÓXIDO DE CARBONO, ECOFISIOLOGIA VEGETAL, MUDANÇA CLIMÁTICA, SOJA, TEMPERATURA
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ABNT
KOTHARI, Kritika et al. Are soybean models ready for climate change food impact assessments?. European Journal of Agronomy, v. 135, p. 1-15, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eja.2022.126482. Acesso em: 09 jun. 2024.
APA
Kothari, K., Battisti, R., Boote, K. J., Archontoulis, S. V., Constantin, J., Cuadra, S. V., et al. (2022). Are soybean models ready for climate change food impact assessments? European Journal of Agronomy, 135, 1-15. doi:10.1016/j.eja.2022.126482
NLM
Kothari K, Battisti R, Boote KJ, Archontoulis SV, Constantin J, Cuadra SV, Debaeke P, Faye B, Grant B, Hoogenboom G, Jing Q, van der Laan M, Silva FAM da, Marin FR, Nehbandani A, Nendel C, Purcell LC, Qian B, Ruane AC, Schoving C, Silva EHFM, Smith W, Soltani A, Srivastava A, Vieira Junior NA, Slone S, Salmerón M. Are soybean models ready for climate change food impact assessments? [Internet]. European Journal of Agronomy. 2022 ; 135 1-15.[citado 2024 jun. 09 ] Available from: https://doi.org/10.1016/j.eja.2022.126482
Vancouver
Kothari K, Battisti R, Boote KJ, Archontoulis SV, Constantin J, Cuadra SV, Debaeke P, Faye B, Grant B, Hoogenboom G, Jing Q, van der Laan M, Silva FAM da, Marin FR, Nehbandani A, Nendel C, Purcell LC, Qian B, Ruane AC, Schoving C, Silva EHFM, Smith W, Soltani A, Srivastava A, Vieira Junior NA, Slone S, Salmerón M. Are soybean models ready for climate change food impact assessments? [Internet]. European Journal of Agronomy. 2022 ; 135 1-15.[citado 2024 jun. 09 ] Available from: https://doi.org/10.1016/j.eja.2022.126482
Artigo de periodico
Estimating particle-size distribution from limited soil texture data: introducing two new methods (2022)
Mozaffari, Hasan; Moosavi, Ali Akbar; Dematte, Jose Alexandre Melo
Fonte: Biosystems Engineering. Unidade: ESALQ
Assuntos: AREIA, ARGILAS, GRANULOMETRIA DO SOLO, LODO, MINERALOGIA DO SOLO, TEXTURA DO SOLO
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ABNT
MOZAFFARI, Hasan e MOOSAVI, Ali Akbar e DEMATTE, Jose Alexandre Melo. Estimating particle-size distribution from limited soil texture data: introducing two new methods. Biosystems Engineering, v. 216, p. 198-217, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.biosystemseng.2022.02.007. Acesso em: 09 jun. 2024.
APA
Mozaffari, H., Moosavi, A. A., & Dematte, J. A. M. (2022). Estimating particle-size distribution from limited soil texture data: introducing two new methods. Biosystems Engineering, 216, 198-217. doi:10.1016/j.biosystemseng.2022.02.007
NLM
Mozaffari H, Moosavi AA, Dematte JAM. Estimating particle-size distribution from limited soil texture data: introducing two new methods [Internet]. Biosystems Engineering. 2022 ; 216 198-217.[citado 2024 jun. 09 ] Available from: https://doi.org/10.1016/j.biosystemseng.2022.02.007
Vancouver
Mozaffari H, Moosavi AA, Dematte JAM. Estimating particle-size distribution from limited soil texture data: introducing two new methods [Internet]. Biosystems Engineering. 2022 ; 216 198-217.[citado 2024 jun. 09 ] Available from: https://doi.org/10.1016/j.biosystemseng.2022.02.007
Artigo de periodico
GBS-MeDIP: A protocol for parallel identification of genetic and epigenetic variation in the same reduced fraction of genomes across individuals (2022)
Rezaei, Shiva; Uffenorde, Julia; Gimm, Oliver; Feizi, Mohammad Ali Hosseinpour; Miemczyk, Stefan; Coutinho, Luiz Lehmann ; Jensen, Per; Guerrero-Bosagna, Carlos; Pértille, Fábio
Fonte: STAR Protocols. Unidade: ESALQ
Assunto: GENOMAS
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ABNT
REZAEI, Shiva et al. GBS-MeDIP: A protocol for parallel identification of genetic and epigenetic variation in the same reduced fraction of genomes across individuals. STAR Protocols, v. 3, p. 1-21, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.xpro.2022.101202. Acesso em: 09 jun. 2024.
APA
Rezaei, S., Uffenorde, J., Gimm, O., Feizi, M. A. H., Miemczyk, S., Coutinho, L. L., et al. (2022). GBS-MeDIP: A protocol for parallel identification of genetic and epigenetic variation in the same reduced fraction of genomes across individuals. STAR Protocols, 3, 1-21. doi:10.1016/j.xpro.2022.101202
NLM
Rezaei S, Uffenorde J, Gimm O, Feizi MAH, Miemczyk S, Coutinho LL, Jensen P, Guerrero-Bosagna C, Pértille F. GBS-MeDIP: A protocol for parallel identification of genetic and epigenetic variation in the same reduced fraction of genomes across individuals [Internet]. STAR Protocols. 2022 ; 3 1-21.[citado 2024 jun. 09 ] Available from: https://doi.org/10.1016/j.xpro.2022.101202
Vancouver
Rezaei S, Uffenorde J, Gimm O, Feizi MAH, Miemczyk S, Coutinho LL, Jensen P, Guerrero-Bosagna C, Pértille F. GBS-MeDIP: A protocol for parallel identification of genetic and epigenetic variation in the same reduced fraction of genomes across individuals [Internet]. STAR Protocols. 2022 ; 3 1-21.[citado 2024 jun. 09 ] Available from: https://doi.org/10.1016/j.xpro.2022.101202
Artigo de periodico
Spatial prediction of soil surface properties in an arid region using synthetic soil image and machine learning (2021)
Naimi, Salman ; Ayoubi, Shamsollah ; Demattê, José Alexandre Melo ; Zeraatpisheh, Mojtaba ; Amorim, Merilyn Taynara Accorsi ; Mello, Fellipe Alcântara de Oliveira
Fonte: Geocarto International. Unidade: ESALQ
Assuntos: SOLOS, VARIABILIDADE ESPACIAL, MAPEAMENTO DO SOLO, PRODUÇÃO AGRÍCOLA, AGRICULTURA SUSTENTÁVEL, SENSORIAMENTO REMOTO
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ABNT
NAIMI, Salman et al. Spatial prediction of soil surface properties in an arid region using synthetic soil image and machine learning. Geocarto International, 2021Tradução . . Disponível em: https://doi.org/10.1080/10106049.2021.1996639. Acesso em: 09 jun. 2024.
APA
Naimi, S., Ayoubi, S., Demattê, J. A. M., Zeraatpisheh, M., Amorim, M. T. A., & Mello, F. A. de O. (2021). Spatial prediction of soil surface properties in an arid region using synthetic soil image and machine learning. Geocarto International. doi:10.1080/10106049.2021.1996639
NLM
Naimi S, Ayoubi S, Demattê JAM, Zeraatpisheh M, Amorim MTA, Mello FA de O. Spatial prediction of soil surface properties in an arid region using synthetic soil image and machine learning [Internet]. Geocarto International. 2021 ;[citado 2024 jun. 09 ] Available from: https://doi.org/10.1080/10106049.2021.1996639
Vancouver
Naimi S, Ayoubi S, Demattê JAM, Zeraatpisheh M, Amorim MTA, Mello FA de O. Spatial prediction of soil surface properties in an arid region using synthetic soil image and machine learning [Internet]. Geocarto International. 2021 ;[citado 2024 jun. 09 ] Available from: https://doi.org/10.1080/10106049.2021.1996639
Artigo de periodico
Interaction of dehydrogenase enzymes with nanoparticles in industrial and medical applications, and the associated challenges: A mini-review (2021)
Porzani, S. J; Lorenzi, Adriana S; Eghtedari, M; Nowruzi, B
Fonte: Mini-Reviews in Medicinal Chemistry. Unidade: ESALQ
Assuntos: ENZIMAS OXIRREDUTORAS, LIGANTES, NANOPARTÍCULAS, NANOTECNOLOGIA, PROTEÍNAS
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ABNT
PORZANI, S. J et al. Interaction of dehydrogenase enzymes with nanoparticles in industrial and medical applications, and the associated challenges: A mini-review. Mini-Reviews in Medicinal Chemistry, v. 21, p. 1351-1366, 2021Tradução . . Disponível em: https://doi.org/10.2174/1570193X17666201119152944. Acesso em: 09 jun. 2024.
APA
Porzani, S. J., Lorenzi, A. S., Eghtedari, M., & Nowruzi, B. (2021). Interaction of dehydrogenase enzymes with nanoparticles in industrial and medical applications, and the associated challenges: A mini-review. Mini-Reviews in Medicinal Chemistry, 21, 1351-1366. doi:10.2174/1570193X17666201119152944
NLM
Porzani SJ, Lorenzi AS, Eghtedari M, Nowruzi B. Interaction of dehydrogenase enzymes with nanoparticles in industrial and medical applications, and the associated challenges: A mini-review [Internet]. Mini-Reviews in Medicinal Chemistry. 2021 ; 21 1351-1366.[citado 2024 jun. 09 ] Available from: https://doi.org/10.2174/1570193X17666201119152944
Vancouver
Porzani SJ, Lorenzi AS, Eghtedari M, Nowruzi B. Interaction of dehydrogenase enzymes with nanoparticles in industrial and medical applications, and the associated challenges: A mini-review [Internet]. Mini-Reviews in Medicinal Chemistry. 2021 ; 21 1351-1366.[citado 2024 jun. 09 ] Available from: https://doi.org/10.2174/1570193X17666201119152944
Parte de monografia/livro
Soil erodibility and its influential factors in the Middle East (2021)
Ostovari, Y; Moosavi, A. A; Mozaffari, H; Poppiel, Raul Roberto ; Tayebi, Mahboobeh ; Dematte, Jose Alexandre Melo
Fonte: Computers in earth and environmental sciences : artificial intelligence and advanced technologies in hazards and risk management. Unidade: ESALQ
Assuntos: ADMINISTRAÇÃO DE RISCO AMBIENTAL, APRENDIZADO COMPUTACIONAL, CONSERVAÇÃO DO SOLO, EROSÃO, INTELIGÊNCIA ARTIFICIAL, MODELAGEM DE DADOS, SENSORIAMENTO REMOTO
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ABNT
OSTOVARI, Y et al. Soil erodibility and its influential factors in the Middle East. Computers in earth and environmental sciences : artificial intelligence and advanced technologies in hazards and risk management. Tradução . Amsterdam: Elsevier, 2021. . Disponível em: https://doi.org/10.1016/B978-0-323-89861-4.00037-3. Acesso em: 09 jun. 2024.
APA
Ostovari, Y., Moosavi, A. A., Mozaffari, H., Poppiel, R. R., Tayebi, M., & Dematte, J. A. M. (2021). Soil erodibility and its influential factors in the Middle East. In Computers in earth and environmental sciences : artificial intelligence and advanced technologies in hazards and risk management. Amsterdam: Elsevier. doi:10.1016/B978-0-323-89861-4.00037-3
NLM
Ostovari Y, Moosavi AA, Mozaffari H, Poppiel RR, Tayebi M, Dematte JAM. Soil erodibility and its influential factors in the Middle East [Internet]. In: Computers in earth and environmental sciences : artificial intelligence and advanced technologies in hazards and risk management. Amsterdam: Elsevier; 2021. [citado 2024 jun. 09 ] Available from: https://doi.org/10.1016/B978-0-323-89861-4.00037-3
Vancouver
Ostovari Y, Moosavi AA, Mozaffari H, Poppiel RR, Tayebi M, Dematte JAM. Soil erodibility and its influential factors in the Middle East [Internet]. In: Computers in earth and environmental sciences : artificial intelligence and advanced technologies in hazards and risk management. Amsterdam: Elsevier; 2021. [citado 2024 jun. 09 ] Available from: https://doi.org/10.1016/B978-0-323-89861-4.00037-3
Artigo de periodico
Ground observations and environmental covariates integration for mapping of soil salinity: a machine learning-based approach (2021)
Naimi, Salman ; Ayoubi, Shamsollah ; Zeraatpisheh, Mojtaba ; Dematte, Jose Alexandre Melo
Fonte: Remote Sensing. Unidade: ESALQ
Assuntos: SALINIDADE DO SOLO, MAPEAMENTO DO SOLO, SENSORIAMENTO REMOTO, APRENDIZADO COMPUTACIONAL, ALGORITMOS
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ABNT
NAIMI, Salman et al. Ground observations and environmental covariates integration for mapping of soil salinity: a machine learning-based approach. Remote Sensing, v. 13, p. 1-21, 2021Tradução . . Disponível em: https://doi.org/10.3390/rs13234825. Acesso em: 09 jun. 2024.
APA
Naimi, S., Ayoubi, S., Zeraatpisheh, M., & Dematte, J. A. M. (2021). Ground observations and environmental covariates integration for mapping of soil salinity: a machine learning-based approach. Remote Sensing, 13, 1-21. doi:10.3390/rs13234825
NLM
Naimi S, Ayoubi S, Zeraatpisheh M, Dematte JAM. Ground observations and environmental covariates integration for mapping of soil salinity: a machine learning-based approach [Internet]. Remote Sensing. 2021 ; 13 1-21.[citado 2024 jun. 09 ] Available from: https://doi.org/10.3390/rs13234825
Vancouver
Naimi S, Ayoubi S, Zeraatpisheh M, Dematte JAM. Ground observations and environmental covariates integration for mapping of soil salinity: a machine learning-based approach [Internet]. Remote Sensing. 2021 ; 13 1-21.[citado 2024 jun. 09 ] Available from: https://doi.org/10.3390/rs13234825
Artigo de periodico
Optimization of thermo-mechanical densification of bamboo (2021)
Kadivar, Marzieh ; Gauss, Christian; Tommasiello Filho , Mario ; Ahrar, Amir Javad; Ghavami, Khosrow; Savastano Júnior , Holmer
Fonte: Construction and Building Materials. Unidades: ESALQ, FZEA
Assuntos: BAMBU, DENSIDADE, MATERIAIS DE CONSTRUÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
KADIVAR, Marzieh et al. Optimization of thermo-mechanical densification of bamboo. Construction and Building Materials, v. 298, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.conbuildmat.2021.123860. Acesso em: 09 jun. 2024.
APA
Kadivar, M., Gauss, C., Tommasiello Filho , M., Ahrar, A. J., Ghavami, K., & Savastano Júnior , H. (2021). Optimization of thermo-mechanical densification of bamboo. Construction and Building Materials, 298. doi:10.1016/j.conbuildmat.2021.123860
NLM
Kadivar M, Gauss C, Tommasiello Filho M, Ahrar AJ, Ghavami K, Savastano Júnior H. Optimization of thermo-mechanical densification of bamboo [Internet]. Construction and Building Materials. 2021 ; 298[citado 2024 jun. 09 ] Available from: https://doi.org/10.1016/j.conbuildmat.2021.123860
Vancouver
Kadivar M, Gauss C, Tommasiello Filho M, Ahrar AJ, Ghavami K, Savastano Júnior H. Optimization of thermo-mechanical densification of bamboo [Internet]. Construction and Building Materials. 2021 ; 298[citado 2024 jun. 09 ] Available from: https://doi.org/10.1016/j.conbuildmat.2021.123860
Artigo de periodico
Generalized odd power cauchy family and its associated heteroscedastic regression model (2021)
Altun, Emrah; Alizadeh, Morad; Ramires, Thiago G; Ortega, Edwin Moises Marcos
Fonte: Statistics, Optimization & Information Computing. Unidade: ESALQ
Assuntos: DISTRIBUIÇÕES (PROBABILIDADE), HETEROSCEDASTICIDADE, MÉTODO DE MONTE CARLO, MODELOS MATEMÁTICOS, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALTUN, Emrah et al. Generalized odd power cauchy family and its associated heteroscedastic regression model. Statistics, Optimization & Information Computing, v. 9, n. 3, p. 516-528, 2021Tradução . . Disponível em: https://doi.org/10.19139/soic-2310-5070-765. Acesso em: 09 jun. 2024.
APA
Altun, E., Alizadeh, M., Ramires, T. G., & Ortega, E. M. M. (2021). Generalized odd power cauchy family and its associated heteroscedastic regression model. Statistics, Optimization & Information Computing, 9( 3), 516-528. doi:10.19139/soic-2310-5070-765
NLM
Altun E, Alizadeh M, Ramires TG, Ortega EMM. Generalized odd power cauchy family and its associated heteroscedastic regression model [Internet]. Statistics, Optimization & Information Computing. 2021 ; 9( 3): 516-528.[citado 2024 jun. 09 ] Available from: https://doi.org/10.19139/soic-2310-5070-765
Vancouver
Altun E, Alizadeh M, Ramires TG, Ortega EMM. Generalized odd power cauchy family and its associated heteroscedastic regression model [Internet]. Statistics, Optimization & Information Computing. 2021 ; 9( 3): 516-528.[citado 2024 jun. 09 ] Available from: https://doi.org/10.19139/soic-2310-5070-765
Artigo de periodico
High resolution middle eastern soil attributes mapping via open data and cloud computing (2021)
Poppiel, Raúl Roberto ; Demattê, José Alexandre Melo ; Rosin, Nicolas Augusto ; Campos, Lucas Rabelo; Tayebi, Mahboobeh ; Bonfatti, Benito Roberto ; Ayoubi, Shamsollah ; Tajik, Samaneh; Afshar, Farideh Abbaszadeh; Jafari, Azam; Hamzehpour, Nikou; Taghizadeh-Mehrjardi, Ruhollah; Ostovari, Yaser; Asgari, Najmeh ; Naimi, Salman ; Nabiollahi, Kamal; Fathizad, Hassan; Zeraatpisheh, Mojtaba ; Javaheri, Fatemeh; Doustaky, Maryam; Naderi, Mehdi; Dehghani, Somayeh; Atash, Saeedeh; Farshadirad, Akram; Mirzaee, Salman; Shahriari, Ali; Ghorbani, Maryam; Rahmati, Mehdi
Fonte: Geoderma. Unidade: ESALQ
Assuntos: ALGORITMOS, COMPUTAÇÃO EM NUVEM, MAPEAMENTO DO SOLO, MODELOS MATEMÁTICOS, PEDOLOGIA, SENSORIAMENTO REMOTO, SOLOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
POPPIEL, Raúl Roberto et al. High resolution middle eastern soil attributes mapping via open data and cloud computing. Geoderma, v. 385, p. 1-15, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.geoderma.2020.114890. Acesso em: 09 jun. 2024.
APA
Poppiel, R. R., Demattê, J. A. M., Rosin, N. A., Campos, L. R., Tayebi, M., Bonfatti, B. R., et al. (2021). High resolution middle eastern soil attributes mapping via open data and cloud computing. Geoderma, 385, 1-15. doi:10.1016/j.geoderma.2020.114890
NLM
Poppiel RR, Demattê JAM, Rosin NA, Campos LR, Tayebi M, Bonfatti BR, Ayoubi S, Tajik S, Afshar FA, Jafari A, Hamzehpour N, Taghizadeh-Mehrjardi R, Ostovari Y, Asgari N, Naimi S, Nabiollahi K, Fathizad H, Zeraatpisheh M, Javaheri F, Doustaky M, Naderi M, Dehghani S, Atash S, Farshadirad A, Mirzaee S, Shahriari A, Ghorbani M, Rahmati M. High resolution middle eastern soil attributes mapping via open data and cloud computing [Internet]. Geoderma. 2021 ; 385 1-15.[citado 2024 jun. 09 ] Available from: https://doi.org/10.1016/j.geoderma.2020.114890
Vancouver
Poppiel RR, Demattê JAM, Rosin NA, Campos LR, Tayebi M, Bonfatti BR, Ayoubi S, Tajik S, Afshar FA, Jafari A, Hamzehpour N, Taghizadeh-Mehrjardi R, Ostovari Y, Asgari N, Naimi S, Nabiollahi K, Fathizad H, Zeraatpisheh M, Javaheri F, Doustaky M, Naderi M, Dehghani S, Atash S, Farshadirad A, Mirzaee S, Shahriari A, Ghorbani M, Rahmati M. High resolution middle eastern soil attributes mapping via open data and cloud computing [Internet]. Geoderma. 2021 ; 385 1-15.[citado 2024 jun. 09 ] Available from: https://doi.org/10.1016/j.geoderma.2020.114890
Artigo de periodico
Carbonates and organic matter in soils characterized by reflected energy from 350-25000 nm wavelength (2020)
Asgari, Najmeh ; Ayoubi, Shamsollah ; Dematte, Jose Alexandre Melo ; Dotto, Andre Carnieletto
Fonte: Journal of Mountain Science. Unidade: ESALQ
Assuntos: ANÁLISE DO SOLO, CARBONATOS, CARBONO, ESPECTROSCOPIA, MATÉRIA ORGÂNICA DO SOLO, MODELAGEM DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ASGARI, Najmeh et al. Carbonates and organic matter in soils characterized by reflected energy from 350-25000 nm wavelength. Journal of Mountain Science, v. 17, n. 7, p. 1636-1651, 2020Tradução . . Disponível em: https://doi.org/10.1007/s11629-019-5789-9. Acesso em: 09 jun. 2024.
APA
Asgari, N., Ayoubi, S., Dematte, J. A. M., & Dotto, A. C. (2020). Carbonates and organic matter in soils characterized by reflected energy from 350-25000 nm wavelength. Journal of Mountain Science, 17( 7), 1636-1651. doi:10.1007/s11629-019-5789-9
NLM
Asgari N, Ayoubi S, Dematte JAM, Dotto AC. Carbonates and organic matter in soils characterized by reflected energy from 350-25000 nm wavelength [Internet]. Journal of Mountain Science. 2020 ; 17( 7): 1636-1651.[citado 2024 jun. 09 ] Available from: https://doi.org/10.1007/s11629-019-5789-9
Vancouver
Asgari N, Ayoubi S, Dematte JAM, Dotto AC. Carbonates and organic matter in soils characterized by reflected energy from 350-25000 nm wavelength [Internet]. Journal of Mountain Science. 2020 ; 17( 7): 1636-1651.[citado 2024 jun. 09 ] Available from: https://doi.org/10.1007/s11629-019-5789-9
Artigo de periodico
Incorporating environmental variables, remote and proximal sensing data for digital soil mapping of USDA soil great groups (2020)
Asgari, Najmeh ; Ayoubi, Shamsollah ; Jafari, Azam; Demattê, José Alexandre Melo
Fonte: International Journal of Remote Sensing. Unidade: ESALQ
Assuntos: APRENDIZADO COMPUTACIONAL, CLASSIFICAÇÃO DO SOLO, ESPECTROSCOPIA, GEOESTATÍSTICA, MAPEAMENTO DO SOLO, MODELOS MATEMÁTICOS, REGRESSÃO LOGÍSTICA, SENSORIAMENTO REMOTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ASGARI, Najmeh et al. Incorporating environmental variables, remote and proximal sensing data for digital soil mapping of USDA soil great groups. International Journal of Remote Sensing, v. 41, n. 19, p. 7624-7648, 2020Tradução . . Disponível em: http://www.tandfonline.com/doi/full/10.1080/01431161.2020.1763506. Acesso em: 09 jun. 2024.
APA
Asgari, N., Ayoubi, S., Jafari, A., & Demattê, J. A. M. (2020). Incorporating environmental variables, remote and proximal sensing data for digital soil mapping of USDA soil great groups. International Journal of Remote Sensing, 41( 19), 7624-7648. doi:10.1080/01431161.2020.1763506
NLM
Asgari N, Ayoubi S, Jafari A, Demattê JAM. Incorporating environmental variables, remote and proximal sensing data for digital soil mapping of USDA soil great groups [Internet]. International Journal of Remote Sensing. 2020 ; 41( 19): 7624-7648.[citado 2024 jun. 09 ] Available from: http://www.tandfonline.com/doi/full/10.1080/01431161.2020.1763506
Vancouver
Asgari N, Ayoubi S, Jafari A, Demattê JAM. Incorporating environmental variables, remote and proximal sensing data for digital soil mapping of USDA soil great groups [Internet]. International Journal of Remote Sensing. 2020 ; 41( 19): 7624-7648.[citado 2024 jun. 09 ] Available from: http://www.tandfonline.com/doi/full/10.1080/01431161.2020.1763506
Artigo de periodico
Digital mapping of soil drainage using remote sensing, DEM and soil color in a semiarid region of Central Iran (2020)
Asgari, Najmeh ; Ayoubi, Shamsollah ; Demattê, Jose Alexandre Melo ; Jafari, Azam; Safanelli, José Lucas ; Silveira, Ariane Francine Desidério da
Fonte: Geoderma Regional. Unidade: ESALQ
Assuntos: COR DO SOLO, DRENAGEM, ESPECTROSCOPIA, MAPEAMENTO DO SOLO, SENSORIAMENTO REMOTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ASGARI, Najmeh et al. Digital mapping of soil drainage using remote sensing, DEM and soil color in a semiarid region of Central Iran. Geoderma Regional, p. 1-21, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.geodrs.2020.e00302. Acesso em: 09 jun. 2024.
APA
Asgari, N., Ayoubi, S., Demattê, J. A. M., Jafari, A., Safanelli, J. L., & Silveira, A. F. D. da. (2020). Digital mapping of soil drainage using remote sensing, DEM and soil color in a semiarid region of Central Iran. Geoderma Regional, 1-21. doi:10.1016/j.geodrs.2020.e00302
NLM
Asgari N, Ayoubi S, Demattê JAM, Jafari A, Safanelli JL, Silveira AFD da. Digital mapping of soil drainage using remote sensing, DEM and soil color in a semiarid region of Central Iran [Internet]. Geoderma Regional. 2020 ; 1-21.[citado 2024 jun. 09 ] Available from: https://doi.org/10.1016/j.geodrs.2020.e00302
Vancouver
Asgari N, Ayoubi S, Demattê JAM, Jafari A, Safanelli JL, Silveira AFD da. Digital mapping of soil drainage using remote sensing, DEM and soil color in a semiarid region of Central Iran [Internet]. Geoderma Regional. 2020 ; 1-21.[citado 2024 jun. 09 ] Available from: https://doi.org/10.1016/j.geodrs.2020.e00302
Artigo de periodico
Taxonomy and phylogeny of cercosporoid ascomycetes on Diospyros spp. with special emphasis on Pseudocercospora spp. (2020)
Braun, U; Nakashima, C; Bakhshi, M; Zare, R; Shin, H.D; Alves, Renan Fernandes ; Sposito, Marcel Bellato
Fonte: Fungal Systematics and Evolution. Unidade: ESALQ
Assuntos: ASCOMYCOTA, CAQUI, CERCOSPORIOSE, DNA, FILOGENIA, FUNGOS FITOPATOGÊNICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BRAUN, U et al. Taxonomy and phylogeny of cercosporoid ascomycetes on Diospyros spp. with special emphasis on Pseudocercospora spp. Fungal Systematics and Evolution, v. 6, p. 95-127, 2020Tradução . . Disponível em: http://fuse-journal.org/images/Issues/Vol6Art6.pdf. Acesso em: 09 jun. 2024.
APA
Braun, U., Nakashima, C., Bakhshi, M., Zare, R., Shin, H. D., Alves, R. F., & Sposito, M. B. (2020). Taxonomy and phylogeny of cercosporoid ascomycetes on Diospyros spp. with special emphasis on Pseudocercospora spp. Fungal Systematics and Evolution, 6, 95-127. doi:10.3114/fuse.2020.06.06
NLM
Braun U, Nakashima C, Bakhshi M, Zare R, Shin HD, Alves RF, Sposito MB. Taxonomy and phylogeny of cercosporoid ascomycetes on Diospyros spp. with special emphasis on Pseudocercospora spp. [Internet]. Fungal Systematics and Evolution. 2020 ; 6 95-127.[citado 2024 jun. 09 ] Available from: http://fuse-journal.org/images/Issues/Vol6Art6.pdf
Vancouver
Braun U, Nakashima C, Bakhshi M, Zare R, Shin HD, Alves RF, Sposito MB. Taxonomy and phylogeny of cercosporoid ascomycetes on Diospyros spp. with special emphasis on Pseudocercospora spp. [Internet]. Fungal Systematics and Evolution. 2020 ; 6 95-127.[citado 2024 jun. 09 ] Available from: http://fuse-journal.org/images/Issues/Vol6Art6.pdf

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