ReP USP - Resultado da busca

Filtros : "Financiamento National Key Research and Development Program of China" "2021" Removido: "Financiamento Guangdong Basic and Applied Basic Research Foundation" Limpar

Filtros

Autores USP
- alves, marcelo eduardo (~1)
- amorim, merilyn taynara accorsi (~1)
- dematte, jose alexandre melo (~1)
- mello, fellipe alcantara de oliveira (~1)
Ano de publicação
- 2021 (~2)
Assuntos
- solos (2)
- agricultura sustentável (1)
- biodisponibilidade (1)
- cádmio (1)
- mapeamento do solo (1)

Idioma
- inglês (~2)
Título da fonte
- geocarto international (~1)
- journal of hazardous materials (~1)
Editora
Nome do evento
ODS
País de publicação
- holanda (~1)
- reino unido (~1)
Grupo de pesquisa
Agência de fomento
- financiamento national key research and development program of china (~2)
- financiamento iran national science foundation (insf) (~1)
- financiamento knowledge innovation program of the chinese academy of sciences (~1)
- financiamento nsfc (~1)
Indexado em
Colaboração institucional
Afiliação dos autores externos normalizada
Afiliação dos autores externos não normalizada
- college of geography and environmental science. henan university. kaifeng (1)
- department of soil quality. wageningen university. wageningen (1)
- department of soil science. college of agriculture. isfahan university of technology. isfahan (1)
- high school affiliated to nanjing normal university. nanjing (1)
- key laboratory of soil environment and pollution remediation. institute of soil science. the chinese academy of sciences. nanjing (1)

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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 20 nov. 2025.
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 2025 nov. 20 ] 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 2025 nov. 20 ] Available from: https://doi.org/10.1080/10106049.2021.1996639
Artigo de periodico
Combining multisurface model and Gouy–Chapman–Stern model to predict cadmium uptake by cabbage (Brassica chinensis L.) in soils (2021)
Li, Yan; Weng, Liping; Wu, Longhua; Gong, Hua; Zhang, Yiwen; Zhang, Ruijue; Shen, Junyao; Yin, Yue; Alves, Marcelo Eduardo ; Zhou, Dongmei; Wang, Yujun
Fonte: Journal of Hazardous Materials. Unidade: ESALQ
Assuntos: BIODISPONIBILIDADE, CÁDMIO, METAL PESADO DO SOLO, MODELOS MATEMÁTICOS, REPOLHO, SOLOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LI, Yan et al. Combining multisurface model and Gouy–Chapman–Stern model to predict cadmium uptake by cabbage (Brassica chinensis L.) in soils. Journal of Hazardous Materials, v. 416, p. 1-9, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.jhazmat.2021.126260. Acesso em: 20 nov. 2025.
APA
Li, Y., Weng, L., Wu, L., Gong, H., Zhang, Y., Zhang, R., et al. (2021). Combining multisurface model and Gouy–Chapman–Stern model to predict cadmium uptake by cabbage (Brassica chinensis L.) in soils. Journal of Hazardous Materials, 416, 1-9. doi:10.1016/j.jhazmat.2021.126260
NLM
Li Y, Weng L, Wu L, Gong H, Zhang Y, Zhang R, Shen J, Yin Y, Alves ME, Zhou D, Wang Y. Combining multisurface model and Gouy–Chapman–Stern model to predict cadmium uptake by cabbage (Brassica chinensis L.) in soils [Internet]. Journal of Hazardous Materials. 2021 ; 416 1-9.[citado 2025 nov. 20 ] Available from: https://doi.org/10.1016/j.jhazmat.2021.126260
Vancouver
Li Y, Weng L, Wu L, Gong H, Zhang Y, Zhang R, Shen J, Yin Y, Alves ME, Zhou D, Wang Y. Combining multisurface model and Gouy–Chapman–Stern model to predict cadmium uptake by cabbage (Brassica chinensis L.) in soils [Internet]. Journal of Hazardous Materials. 2021 ; 416 1-9.[citado 2025 nov. 20 ] Available from: https://doi.org/10.1016/j.jhazmat.2021.126260

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