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Registro Completo |
Biblioteca(s): |
Embrapa Amazônia Ocidental. |
Data corrente: |
01/11/1999 |
Data da última atualização: |
01/11/1999 |
Autoria: |
OLIVEIRA, S. J.; TOWNSEND, C. R.; FAMINOW, M. D. |
Título: |
Aspectos economicos de uma propriedade produtora de leite na microrregiao de Ji-Parana, Rondonia. |
Ano de publicação: |
1998 |
Fonte/Imprenta: |
Rondonia: EMBRAPA-CPAF Rondonia, 1998. |
Páginas: |
14p. |
Série: |
(EMBRAPA Rondonia. Documentos, 39). |
ISSN: |
0103-9865 |
Idioma: |
Português |
Conteúdo: |
O trabalho visou analisar financeiramente uma propriedade rural produtora de leite na microrregiao de Ji-Parana, RO. A propriedade, mesmo produtora de leite, e' diversificada, obtendo rendimento da venda de cafe, animais e leite. As atividade da propriedade se mostraram lucrativas, mas isso se deve tambem a localizacao da mesma, a menos de l0 km do laticinio, e em nivel tecnologico empregado, de intermediario para elevado, considerando as condicoes medias do estado de Rondonia. Alem disso, a fertilidade natural dos solos contribui para o aumento da renda.Este trabalho comprova a viabilidade de pequenas propriedades rurais, de condicoes minimas de acesso a mercado e nivel tecnologico mais adiantado. A avaliacao futura da adocao destas novas tecnologias e a comparacao com a situacao observada hoje, e' uma importante informacao a ser gerada pela Embrapa Rondonia para subsidiar a atividade leiteira no Estado. |
Palavras-Chave: |
Brasil; Economical analysis; Ji-Parana; Production; Rondonia; Small enterprises. |
Thesagro: |
Análise Econômica; Leite; Pequena Empresa; Produção. |
Thesaurus Nal: |
milk. |
Categoria do assunto: |
-- |
Marc: |
LEADER 01728nam a2200301 a 4500 001 1666545 005 1999-11-01 008 1998 bl uuuu u0uu1 u #d 022 $a0103-9865 100 1 $aOLIVEIRA, S. J. 245 $aAspectos economicos de uma propriedade produtora de leite na microrregiao de Ji-Parana, Rondonia. 260 $aRondonia: EMBRAPA-CPAF Rondonia$c1998 300 $a14p. 490 $a(EMBRAPA Rondonia. Documentos, 39). 520 $aO trabalho visou analisar financeiramente uma propriedade rural produtora de leite na microrregiao de Ji-Parana, RO. A propriedade, mesmo produtora de leite, e' diversificada, obtendo rendimento da venda de cafe, animais e leite. As atividade da propriedade se mostraram lucrativas, mas isso se deve tambem a localizacao da mesma, a menos de l0 km do laticinio, e em nivel tecnologico empregado, de intermediario para elevado, considerando as condicoes medias do estado de Rondonia. Alem disso, a fertilidade natural dos solos contribui para o aumento da renda.Este trabalho comprova a viabilidade de pequenas propriedades rurais, de condicoes minimas de acesso a mercado e nivel tecnologico mais adiantado. A avaliacao futura da adocao destas novas tecnologias e a comparacao com a situacao observada hoje, e' uma importante informacao a ser gerada pela Embrapa Rondonia para subsidiar a atividade leiteira no Estado. 650 $amilk 650 $aAnálise Econômica 650 $aLeite 650 $aPequena Empresa 650 $aProdução 653 $aBrasil 653 $aEconomical analysis 653 $aJi-Parana 653 $aProduction 653 $aRondonia 653 $aSmall enterprises 700 1 $aTOWNSEND, C. R. 700 1 $aFAMINOW, M. D.
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Registro original: |
Embrapa Amazônia Ocidental (CPAA) |
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Registro Completo
Biblioteca(s): |
Embrapa Meio Ambiente; Embrapa Pecuária Sudeste. |
Data corrente: |
29/07/2020 |
Data da última atualização: |
30/07/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
CISNEROS, A.; FIORIO, P. R.; SANTOS, P. M.; PASQUALOTTO, N.; WITTENBERGHE, S. van; SILVA, G. B. S. da; NOGUEIRA, S. F. |
Afiliação: |
AMPARO CISNEROS, ESALQ-USP; PETERSON FIORIO, ESALQ-USP; PATRICIA MENEZES SANTOS, CPPSE; NIEVES PASQUALOTTO, Universidad de Valencia; SHARI VAN WITTENBERGHE, Universidad de Valencia; GUSTAVO BAYMA SIQUEIRA DA SILVA, CNPMA; SANDRA FURLAN NOGUEIRA, CNPMA. |
Título: |
Mapping productivity and essential biophysical parameters of cultivated tropical grasslands from sentinel-2 imagery. |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
Agronomy, v. 10, n. 5, p. 1-23, 2020. Article 711. |
Páginas: |
p. 1-23. |
DOI: |
https://doi.org/10.3390/agronomy10050711 |
Idioma: |
Inglês |
Conteúdo: |
Abstract: Nitrogen (N) is the main nutrient element that maintains productivity in forages; it is inextricably linked to dry matter increase and plant support capacity. In recent years, high spectral and spatial resolution remote sensors, e.g., the European Space Agency (ESA)?s Sentinel satellite missions, have become freely available for agricultural science, and have proven to be powerful monitoring tools. The use of vegetation indices has been essential for crop monitoring and biomass estimation models. The objective of this work is to test and demonstrate the applicability of different vegetation indices to estimate the biomass productivity, the foliar nitrogen content (FNC), the plant height and the leaf area index (LAI) of several tropical grasslands species submitted to different nitrogen (N) rates in an experimental area of São Paulo, Brazil. Field reflectance data of Panicum maximum and Urochloa brizantha species' cultivars were taken and convoluted to the Sentinel-2 satellite bands. Subsequently, different vegetation indices (Normalized Difference Vegetation Index (NDI), Three Band Index (TBI), Difference light Height (DLH), Three Band Dall?Olmo (DO), and Normalized Area Over reflectance Curve (NAOC)) were tested for the experimental grassland areas, and composed of Urochloa decumbens and Urochloa brizantha grass species, which were sampled and destructively analyzed. Our results show the use of different relevant Sentinel-2 bands in the visible (VIS)-near infrared (NIR) regions for the estimation of the different biophysical parameters. The FNC obtained the best correlation for the TBI index combining blue, green and red bands with a determination coefficient (R2) of 0.38 and Root Mean Square Error (RMSE) of 3.4 g kg-1. The estimation of grassland productivity based on red-edge and NIR bands showed a R2 = 0.54 and a RMSE = 1800 kg ha-1. For the LAI, the best index was the NAOC (R2 = 0.57 and RMSE = 1.4 m2 m-2). High values of FNC, productivity and LAI based on different sets of Sentinel-2 bands were consistently obtained for areas under N fertilization. MenosAbstract: Nitrogen (N) is the main nutrient element that maintains productivity in forages; it is inextricably linked to dry matter increase and plant support capacity. In recent years, high spectral and spatial resolution remote sensors, e.g., the European Space Agency (ESA)?s Sentinel satellite missions, have become freely available for agricultural science, and have proven to be powerful monitoring tools. The use of vegetation indices has been essential for crop monitoring and biomass estimation models. The objective of this work is to test and demonstrate the applicability of different vegetation indices to estimate the biomass productivity, the foliar nitrogen content (FNC), the plant height and the leaf area index (LAI) of several tropical grasslands species submitted to different nitrogen (N) rates in an experimental area of São Paulo, Brazil. Field reflectance data of Panicum maximum and Urochloa brizantha species' cultivars were taken and convoluted to the Sentinel-2 satellite bands. Subsequently, different vegetation indices (Normalized Difference Vegetation Index (NDI), Three Band Index (TBI), Difference light Height (DLH), Three Band Dall?Olmo (DO), and Normalized Area Over reflectance Curve (NAOC)) were tested for the experimental grassland areas, and composed of Urochloa decumbens and Urochloa brizantha grass species, which were sampled and destructively analyzed. Our results show the use of different relevant Sentinel-2 bands in the visible (VIS)-near infrared... Mostrar Tudo |
Palavras-Chave: |
Productivity; Sentinel-2. |
Thesagro: |
Biomassa; Capim Urochloa; Nitrogênio; Pastagem; Sensoriamento Remoto. |
Thesaurus NAL: |
Biomass production; Leaf area index; Nitrogen; Panicum; Pastures; Remote sensing; Tropical grasslands; Urochloa brizantha; Urochloa decumbens; Vegetation index. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/215015/1/MappingProductivityEssential.pdf
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Marc: |
LEADER 03309naa a2200421 a 4500 001 2124094 005 2020-07-30 008 2020 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.3390/agronomy10050711$2DOI 100 1 $aCISNEROS, A. 245 $aMapping productivity and essential biophysical parameters of cultivated tropical grasslands from sentinel-2 imagery.$h[electronic resource] 260 $c2020 300 $ap. 1-23. 520 $aAbstract: Nitrogen (N) is the main nutrient element that maintains productivity in forages; it is inextricably linked to dry matter increase and plant support capacity. In recent years, high spectral and spatial resolution remote sensors, e.g., the European Space Agency (ESA)?s Sentinel satellite missions, have become freely available for agricultural science, and have proven to be powerful monitoring tools. The use of vegetation indices has been essential for crop monitoring and biomass estimation models. The objective of this work is to test and demonstrate the applicability of different vegetation indices to estimate the biomass productivity, the foliar nitrogen content (FNC), the plant height and the leaf area index (LAI) of several tropical grasslands species submitted to different nitrogen (N) rates in an experimental area of São Paulo, Brazil. Field reflectance data of Panicum maximum and Urochloa brizantha species' cultivars were taken and convoluted to the Sentinel-2 satellite bands. Subsequently, different vegetation indices (Normalized Difference Vegetation Index (NDI), Three Band Index (TBI), Difference light Height (DLH), Three Band Dall?Olmo (DO), and Normalized Area Over reflectance Curve (NAOC)) were tested for the experimental grassland areas, and composed of Urochloa decumbens and Urochloa brizantha grass species, which were sampled and destructively analyzed. Our results show the use of different relevant Sentinel-2 bands in the visible (VIS)-near infrared (NIR) regions for the estimation of the different biophysical parameters. The FNC obtained the best correlation for the TBI index combining blue, green and red bands with a determination coefficient (R2) of 0.38 and Root Mean Square Error (RMSE) of 3.4 g kg-1. The estimation of grassland productivity based on red-edge and NIR bands showed a R2 = 0.54 and a RMSE = 1800 kg ha-1. For the LAI, the best index was the NAOC (R2 = 0.57 and RMSE = 1.4 m2 m-2). High values of FNC, productivity and LAI based on different sets of Sentinel-2 bands were consistently obtained for areas under N fertilization. 650 $aBiomass production 650 $aLeaf area index 650 $aNitrogen 650 $aPanicum 650 $aPastures 650 $aRemote sensing 650 $aTropical grasslands 650 $aUrochloa brizantha 650 $aUrochloa decumbens 650 $aVegetation index 650 $aBiomassa 650 $aCapim Urochloa 650 $aNitrogênio 650 $aPastagem 650 $aSensoriamento Remoto 653 $aProductivity 653 $aSentinel-2 700 1 $aFIORIO, P. R. 700 1 $aSANTOS, P. M. 700 1 $aPASQUALOTTO, N. 700 1 $aWITTENBERGHE, S. van 700 1 $aSILVA, G. B. S. da 700 1 $aNOGUEIRA, S. F. 773 $tAgronomy$gv. 10, n. 5, p. 1-23, 2020. Article 711.
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Embrapa Pecuária Sudeste (CPPSE) |
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