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Registro Completo |
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Biblioteca(s): |
Embrapa Pantanal. |
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Data corrente: |
26/07/1995 |
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Data da última atualização: |
26/07/1995 |
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Autoria: |
HESLEHURST, M. R.; WILSON, G. L. |
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Título: |
Studies on the productivity of tropical pasture plants. IV.Separation of photosynthetic and respiratory components of net assimilation rate by growth analysis and gas exchange techniques under natural lighting. |
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Ano de publicação: |
1974 |
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Fonte/Imprenta: |
Australian Journal of Agricultural Research, v.25, n.3, p.415-424, 1974. |
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Idioma: |
Inglês |
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Conteúdo: |
The growth analysis technique for the separation of photosynthetic and respiration components of net assimailation rate used in previous controlled environment studies of early vegetative growth was extended to natural lighting conditions. The use of short-wave radiation rather than days in the light as the quantification of photosynthetic opportunity in the regression analysis improved the accuracy of estimation of photosynthesis and respiration. In one experiment, concurrently with the growth analysis procedure, carbon dioxide exchange measurements were made on one grass and one legume. There was good agreement between the two methods in the estimates obtained. The data support conclusions from previous experiments concening the superior growth rate of grass. Species were similar in poth sets of experiments. |
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Palavras-Chave: |
Analise de crescimento; Growth analysis; Pastagem tropical; Production; Tropical pasture. |
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Thesagro: |
Fotossíntese; Produção. |
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Thesaurus Nal: |
photosynthesis. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01614naa a2200229 a 4500
001 1784980
005 1995-07-26
008 1974 bl --- 0-- u #d
100 1 $aHESLEHURST, M. R.
245 $aStudies on the productivity of tropical pasture plants. IV.Separation of photosynthetic and respiratory components of net assimilation rate by growth analysis and gas exchange techniques under natural lighting.
260 $c1974
520 $aThe growth analysis technique for the separation of photosynthetic and respiration components of net assimailation rate used in previous controlled environment studies of early vegetative growth was extended to natural lighting conditions. The use of short-wave radiation rather than days in the light as the quantification of photosynthetic opportunity in the regression analysis improved the accuracy of estimation of photosynthesis and respiration. In one experiment, concurrently with the growth analysis procedure, carbon dioxide exchange measurements were made on one grass and one legume. There was good agreement between the two methods in the estimates obtained. The data support conclusions from previous experiments concening the superior growth rate of grass. Species were similar in poth sets of experiments.
650 $aphotosynthesis
650 $aFotossíntese
650 $aProdução
653 $aAnalise de crescimento
653 $aGrowth analysis
653 $aPastagem tropical
653 $aProduction
653 $aTropical pasture
700 1 $aWILSON, G. L.
773 $tAustralian Journal of Agricultural Research$gv.25, n.3, p.415-424, 1974.
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Registro original: |
Embrapa Pantanal (CPAP) |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
30/01/2023 |
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Data da última atualização: |
11/08/2023 |
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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: |
PEREIRA, F. R. da S.; REIS, A. A. dos; FREITAS, R. G.; OLIVEIRA, S. R. de M.; AMARAL, L. R. do; FIGUEIREDO, G. K. D. A.; ANTUNES, J. F. G.; LAMPARELLI, R. A. C.; MORO, E.; MAGALHÃES, P. S. G. |
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Afiliação: |
FRANCISCO R. DA S. PEREIRA, UNIVERSIDADE ESTADUAL DE CAMPINAS, INSTITUTO FEDERAL DE EDUCAÇÃO, CIÊNCIA E TECNOLOGIA DE ALAGOAS; ALINY APARECIDA DOS REIS, UNIVERSIDADE ESTADUAL DE CAMPINAS; RODRIGO G. FREITAS, UNIVERSIDADE ESTADUAL DE CAMPINAS; STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA, UNIVERSIDADE ESTADUAL DE CAMPINAS; LUCAS RIOS DO AMARAL, UNIVERSIDADE ESTADUAL DE CAMPINAS; GLEYCE KELLY DANTAS ARAÚJO FIGUEIREDO, UNIVERSIDADE ESTADUAL DE CAMPINAS; JOAO FRANCISCO GONCALVES ANTUNES, CNPTIA; RUBENS A. C. LAMPARELLI, UNIVERSIDADE ESTADUAL DE CAMPINAS; EDEMAR MORO, UNIVERSIDADE DO OESTE PAULISTA; PAULO S. G. MAGALHÃES, UNIVERSIDADE ESTADUAL DE CAMPINAS. |
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Título: |
Imputation of missing parts in UAV orthomosaics using PlanetScope and Sentinel-2 data: a case study in a grass-dominated área. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
International Journal of Geo-Information, v. 12, n. 2, 41, Feb. 2023. |
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DOI: |
https://doi.org/ 10.3390/ijgi12020041 |
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Idioma: |
Inglês |
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Conteúdo: |
In this study, we propose a methodological framework to impute missing parts of UAV orthomosaics using PlanetScope (PS) and Sentinel-2 (S2) data and the random forest (RF) algorithm of an integrated crop-livestock system (ICLS) covered by grass at the time. |
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Palavras-Chave: |
Aprendizado de máquina; Data intercalibration; Índice de vegetação; Machine learning; Random forest; Spatial gap-filling method; Spatial imputation method. |
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Thesagro: |
Agricultura de Precisão; Sensoriamento Remoto. |
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Thesaurus NAL: |
Normalized difference vegetation index; Precision agriculture; Remote sensing; Unmanned aerial vehicles. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://www.alice.cnptia.embrapa.br/alice/bitstream/doc/1151339/1/AP-Imputation-missing-parts-2023.pdf
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Marc: |
LEADER 01581naa a2200397 a 4500
001 2151339
005 2023-08-11
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/ 10.3390/ijgi12020041$2DOI
100 1 $aPEREIRA, F. R. da S.
245 $aImputation of missing parts in UAV orthomosaics using PlanetScope and Sentinel-2 data$ba case study in a grass-dominated área.$h[electronic resource]
260 $c2023
520 $aIn this study, we propose a methodological framework to impute missing parts of UAV orthomosaics using PlanetScope (PS) and Sentinel-2 (S2) data and the random forest (RF) algorithm of an integrated crop-livestock system (ICLS) covered by grass at the time.
650 $aNormalized difference vegetation index
650 $aPrecision agriculture
650 $aRemote sensing
650 $aUnmanned aerial vehicles
650 $aAgricultura de Precisão
650 $aSensoriamento Remoto
653 $aAprendizado de máquina
653 $aData intercalibration
653 $aÍndice de vegetação
653 $aMachine learning
653 $aRandom forest
653 $aSpatial gap-filling method
653 $aSpatial imputation method
700 1 $aREIS, A. A. dos
700 1 $aFREITAS, R. G.
700 1 $aOLIVEIRA, S. R. de M.
700 1 $aAMARAL, L. R. do
700 1 $aFIGUEIREDO, G. K. D. A.
700 1 $aANTUNES, J. F. G.
700 1 $aLAMPARELLI, R. A. C.
700 1 $aMORO, E.
700 1 $aMAGALHÃES, P. S. G.
773 $tInternational Journal of Geo-Information$gv. 12, n. 2, 41, Feb. 2023.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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