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Registro Completo |
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Biblioteca(s): |
Embrapa Clima Temperado. |
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Data corrente: |
18/03/2013 |
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Data da última atualização: |
18/03/2013 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
MORENO, M. B.; CRIZEL, G. R.; LEITE, T. B.; FLORES CANTILLANO, R. F.; ROMBALDI, C. V. |
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Afiliação: |
Moreno, M. B, UFPEL; Crizel, G. R., UFPEL; Leite,T. B., UFPEL; RUFINO FERNANDO FLORES CANTILLANO, CPACT; Rombaldi, C. V., UFPEL. |
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Título: |
Nutrient content in leaves of strawberry plants treated with uv-c radiation during strawberry crop. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
In: INTERNATIONAL CROP SCIENCE CONGRESS, 6. 2012, Bento Gonçalves. [Proceedings...]. [S.l.]: International Crop Science Society, 2012. 1 CD-ROM. |
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Idioma: |
Português |
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Palavras-Chave: |
Strawberry. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/79244/1/Marines-Batalha-Moreno-NUTRIENT-CONTENT-IN-LEAVES-OF-STRAWBERRY-PLANTS-TREATED-WITH-UV-C-RADIATION-DURING-STRAWBERRY-CROP.pdf
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Marc: |
LEADER 00618nam a2200157 a 4500
001 1953344
005 2013-03-18
008 2012 bl uuuu u00u1 u #d
100 1 $aMORENO, M. B.
245 $aNutrient content in leaves of strawberry plants treated with uv-c radiation during strawberry crop.$h[electronic resource]
260 $aIn: INTERNATIONAL CROP SCIENCE CONGRESS, 6. 2012, Bento Gonçalves. [Proceedings...]. [S.l.]: International Crop Science Society, 2012. 1 CD-ROM.$c2012
653 $aStrawberry
700 1 $aCRIZEL, G. R.
700 1 $aLEITE, T. B.
700 1 $aFLORES CANTILLANO, R. F.
700 1 $aROMBALDI, C. V.
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Registro original: |
Embrapa Clima Temperado (CPACT) |
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Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
24/12/2021 |
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Data da última atualização: |
28/12/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
HOTT, M. C.; ANDRADE, R. G.; MAGALHAES JUNIOR, W. C. P. de; BENITES, F. R. G. |
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Afiliação: |
MARCOS CICARINI HOTT, CNPGL; RICARDO GUIMARAES ANDRADE, CNPGL; WALTER COELHO P DE MAGALHAES JUNIOR, CNPGL; FLAVIO RODRIGO GANDOLFI BENITES, CNPGL. |
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Título: |
Classification of Cynodon spp. grass cultivars by UAV. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
International Journal of Advanced Engineering Research and Science, v. 8, n. 12, p. 266-270, 2021. |
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Idioma: |
Inglês |
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Conteúdo: |
Traditional methods for estimating biomass in pasture frequently use destructive methods with high demand for time, resources and labor. The development of models for automated estimation of biomass and leaf area index, particularly from images captured by Unmanned Aerial Vehicle (UAV), saves resources and helps the adoption of anticipatory measures in the management of the experimental area. The objective of this study was to create a technical feasibility study for the use of UAV in the estimation of biomass, forage canopy height, and general conditions of Cynodon grass in plots, using volume and vigor by the radiometric and morphometric approach, the NDRE index, and digital terrain (DTMs) and digital surface (DSMs) models compared to scores by the specialist in the field. Visible (RGB), red edge (RedEdge) and near infrared (NIR) imaging cameras were used for continuous monitoring of the experimental area, of approximately 3,800 m2 , located at the José Henrique Bruschi Experimental Field (CEJHB), in the municipality of Colonel Pacheco, Minas Gerais, Brazil. After UAV imaging, we selected nine Cynodon spp. clones that showed greater vigor based on the data from the field plots and data obtained by UAV and classified using the method to estimate the vegetation vigor index (VVI) and classified by natural breaks in GIS |
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Palavras-Chave: |
Pasto; Vigor vegetativo. |
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Thesagro: |
Melhoramento Genético Vegetal. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/229671/1/Classfication-cynodon.pdf
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Marc: |
LEADER 01950naa a2200193 a 4500
001 2138376
005 2021-12-28
008 2021 bl uuuu u00u1 u #d
100 1 $aHOTT, M. C.
245 $aClassification of Cynodon spp. grass cultivars by UAV.$h[electronic resource]
260 $c2021
520 $aTraditional methods for estimating biomass in pasture frequently use destructive methods with high demand for time, resources and labor. The development of models for automated estimation of biomass and leaf area index, particularly from images captured by Unmanned Aerial Vehicle (UAV), saves resources and helps the adoption of anticipatory measures in the management of the experimental area. The objective of this study was to create a technical feasibility study for the use of UAV in the estimation of biomass, forage canopy height, and general conditions of Cynodon grass in plots, using volume and vigor by the radiometric and morphometric approach, the NDRE index, and digital terrain (DTMs) and digital surface (DSMs) models compared to scores by the specialist in the field. Visible (RGB), red edge (RedEdge) and near infrared (NIR) imaging cameras were used for continuous monitoring of the experimental area, of approximately 3,800 m2 , located at the José Henrique Bruschi Experimental Field (CEJHB), in the municipality of Colonel Pacheco, Minas Gerais, Brazil. After UAV imaging, we selected nine Cynodon spp. clones that showed greater vigor based on the data from the field plots and data obtained by UAV and classified using the method to estimate the vegetation vigor index (VVI) and classified by natural breaks in GIS
650 $aMelhoramento Genético Vegetal
653 $aPasto
653 $aVigor vegetativo
700 1 $aANDRADE, R. G.
700 1 $aMAGALHAES JUNIOR, W. C. P. de
700 1 $aBENITES, F. R. G.
773 $tInternational Journal of Advanced Engineering Research and Science$gv. 8, n. 12, p. 266-270, 2021.
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Registro original: |
Embrapa Gado de Leite (CNPGL) |
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