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Downloads and views - Time Series

Number of downloads and views in the period.

Period:
Total Year Month Day

Item Handle
(eg. 1822/417)
 

Item
Title : Deep learning architectures for semantic segmentation and automatic estimation of severity of foliar symptoms caused by diseases or pests.
Entry Date : 14-09-2021
Downloads and viewsExport
Year Downloads Views
2021 31,0 43
2022 95,0 68
2023 35,0 38
161,0 149
Downloads and views per year
Downloads by country (top 10)
Views by country (top 10)
Downloads by countryExport
Origin Downloads Perc.(%)
China China 32,0 19,51
Embrapa Embrapa 28,0 17,07
United States United States 19,0 11,59
India India 17,0 10,37
N/A N/A 12,0 7,32
Ethiopia Ethiopia 11,0 6,71
Brazil Brazil 9,0 5,49
United Kingdom United Kingdom 6,0 3,66
Hong Kong Hong Kong 5,0 3,05
Germany Germany 3,0 1,83
Japan Japan 3,0 1,83
Austria Austria 2,0 1,22
Iran, Islamic Republic of Iran, Islamic Republic of 2,0 1,22
Pakistan Pakistan 2,0 1,22
Israel Israel 1,0 0,61
Czech Republic Czech Republic 1,0 0,61
France France 1,0 0,61
Iraq Iraq 1,0 0,61
Spain Spain 1,0 0,61
Sri Lanka Sri Lanka 1,0 0,61
Russian Federation Russian Federation 1,0 0,61
Italy Italy 1,0 0,61
Lithuania Lithuania 1,0 0,61
Bangladesh Bangladesh 1,0 0,61
Morocco Morocco 1,0 0,61
Norway Norway 1,0 0,61
Netherlands Netherlands 1,0 0,61
164,0 100,00
Views by countryExport
Origin Views Perc.(%)
United States United States 70 46,67
Moldova, Republic of Moldova, Republic of 31 20,67
Embrapa Embrapa 13 8,67
Brazil Brazil 7 4,67
Germany Germany 6 4,00
Russian Federation Russian Federation 6 4,00
China China 6 4,00
United Kingdom United Kingdom 4 2,67
N/A N/A 2 1,33
Canada Canada 2 1,33
Sweden Sweden 1 0,67
Ireland Ireland 1 0,67
France France 1 0,67
150 100,00

Empresa Brasileira de Pesquisa Agropecuária - Embrapa
O conteúdo deste repositório está licenciado sob a Licença Creative Commons - Atribuição-NãoComercial-SemDerivações 4.0 Internacional.
Licença Creative Commons

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