| |
|
|
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Uva e Vinho. |
|
Data corrente: |
20/07/2021 |
|
Data da última atualização: |
20/07/2021 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Autoria: |
CONCEIÇÃO, M. A. F. |
|
Afiliação: |
MARCO ANTONIO FONSECA CONCEICAO, CNPUV. |
|
Título: |
Irrigação inadequada afeta a produtividade, a qualidade dos frutos e impacta o meio ambiente. |
|
Ano de publicação: |
2021 |
|
Fonte/Imprenta: |
Visão Agrícola, v. 14, p. 33-37, junho 2021. |
|
Páginas: |
5 |
|
ISBN: |
1806-6402 |
|
Idioma: |
Português |
|
Conteúdo: |
O Brasil apresenta 75.731 ha cultivados com videiras, sendo o Rio Grande do Sul o maior produtor nacional, com 47.502 ha, seguido de Pernambuco, com 8.256 ha, São Paulo, com 8.164 ha, Paraná, com 4.000 ha, Santa Catarina, com 3.999 ha, Bahia, com 2.069 ha, e Minas Gerais, com 1.124 ha (Mello, 2019). Esses sete estados representam, assim, 99% da área vitícola do país. A maior parte dos vinhedos da região Sul e do estado de São Paulo não utiliza sistemas de irrigação; no Rio Grande do Sul, ela é empregada, principalmente, na produção de uvas de mesa sob cobertura plástica e no estabelecimento de novas áreas na região da Campanha, para a produção de vinhos finos. No Norte do Paraná, alguns produtores de uvas de mesa também têm irrigado seus vinhedos, a fim de evitar perdas por estiagens que, ocasionalmente, ocorrem na região. |
|
Palavras-Chave: |
Frutas de mesa; Vinhedo. |
|
Thesagro: |
Fruta; Irrigação por Gotejamento; Sistema de Irrigação. |
|
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/224552/1/Conceicao-p37-2021.pdf
|
|
Marc: |
LEADER 01456naa a2200205 a 4500
001 2133039
005 2021-07-20
008 2021 bl uuuu u00u1 u #d
022 $a1806-6402
100 1 $aCONCEIÇÃO, M. A. F.
245 $aIrrigação inadequada afeta a produtividade, a qualidade dos frutos e impacta o meio ambiente.$h[electronic resource]
260 $c2021
300 $a5
520 $aO Brasil apresenta 75.731 ha cultivados com videiras, sendo o Rio Grande do Sul o maior produtor nacional, com 47.502 ha, seguido de Pernambuco, com 8.256 ha, São Paulo, com 8.164 ha, Paraná, com 4.000 ha, Santa Catarina, com 3.999 ha, Bahia, com 2.069 ha, e Minas Gerais, com 1.124 ha (Mello, 2019). Esses sete estados representam, assim, 99% da área vitícola do país. A maior parte dos vinhedos da região Sul e do estado de São Paulo não utiliza sistemas de irrigação; no Rio Grande do Sul, ela é empregada, principalmente, na produção de uvas de mesa sob cobertura plástica e no estabelecimento de novas áreas na região da Campanha, para a produção de vinhos finos. No Norte do Paraná, alguns produtores de uvas de mesa também têm irrigado seus vinhedos, a fim de evitar perdas por estiagens que, ocasionalmente, ocorrem na região.
650 $aFruta
650 $aIrrigação por Gotejamento
650 $aSistema de Irrigação
653 $aFrutas de mesa
653 $aVinhedo
773 $tVisão Agrícola$gv. 14, p. 33-37, junho 2021.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Uva e Vinho (CNPUV) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
Registro Completo
|
Biblioteca(s): |
Embrapa Solos. |
|
Data corrente: |
06/01/2009 |
|
Data da última atualização: |
26/10/2021 |
|
Tipo da produção científica: |
Artigo em Anais de Congresso / Nota Técnica |
|
Autoria: |
JONATHAN, M.; ARVOR, D.; MEIRELLES, M. S. P.; DUBREUIL, V. |
|
Afiliação: |
M. Jonathan, Université Rennes; D. Arvor, Université Rennes; MARGARETH GONCALVES SIMOES, CNPS; V. Dubreuil, Université Rennes. |
|
Título: |
Field-oriented assessment of agricultural crops through temporal segmentation of modis VI data. |
|
Ano de publicação: |
2008 |
|
Fonte/Imprenta: |
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v. 37, pt. B7, p. 921-926, 2008. Edition of Proceedings of XXI ISPRS Congress, Beijing, Jul. 2008. |
|
Idioma: |
Inglês |
|
Conteúdo: |
Monitoring agricultural crops constitutes a vital task for the general understanding of land use spatio-temporal dynamics. This paper presents an approach for the enhancement of current crop monitoring capabilities on a regional scale, in order to allow for the analysis of environmental and socio-economic drivers and impacts of agricultural land use. This work discusses the advantages and current limitations of using 250m VI data from the Moderate Resolution Imaging Spectroradiometer (MODIS) for this purpose, with emphasis in the difficulty of correctly analyzing pixels whose temporal responses are disturbed due to certain sources of interference such as mixed or heterogeneous land cover. It is shown that the influence of noisy or disturbed pixels can be minimized, and a much more consistent and useful result can be attained, if individual agricultural fields are identified and each field's pixels are analyzed in a collective manner. As such, a method is proposed that makes use of image segmentation techniques based on MODIS temporal information in order to identify portions of the study area that agree with actual agricultural field borders. The pixels of each portion or segment are then analyzed individually in order to estimate the reliability of the temporal signal observed and the consequent relevance of any estimation of land use from that data. The proposed method was applied in the state of Mato Grosso, in mid-western Brazil, where extensive ground truth data was available. Experiments were carried out using several supervised classification algorithms as well as different subsets of land cover classes, in order to test the methodology in a comprehensive way. Results show that the proposed method is capable of consistently improving classification results not only in terms of overall accuracy but also qualitatively by allowing a better understanding of the land use patterns detected. It thus provides a practical and straightforward procedure for enhancing crop-mapping capabilities using temporal series of moderate resolution remote sensing data. MenosMonitoring agricultural crops constitutes a vital task for the general understanding of land use spatio-temporal dynamics. This paper presents an approach for the enhancement of current crop monitoring capabilities on a regional scale, in order to allow for the analysis of environmental and socio-economic drivers and impacts of agricultural land use. This work discusses the advantages and current limitations of using 250m VI data from the Moderate Resolution Imaging Spectroradiometer (MODIS) for this purpose, with emphasis in the difficulty of correctly analyzing pixels whose temporal responses are disturbed due to certain sources of interference such as mixed or heterogeneous land cover. It is shown that the influence of noisy or disturbed pixels can be minimized, and a much more consistent and useful result can be attained, if individual agricultural fields are identified and each field's pixels are analyzed in a collective manner. As such, a method is proposed that makes use of image segmentation techniques based on MODIS temporal information in order to identify portions of the study area that agree with actual agricultural field borders. The pixels of each portion or segment are then analyzed individually in order to estimate the reliability of the temporal signal observed and the consequent relevance of any estimation of land use from that data. The proposed method was applied in the state of Mato Grosso, in mid-western Brazil, where extensive ground truth data was ava... Mostrar Tudo |
|
Palavras-Chave: |
Mapeamento de culturas; Processamento de imagens multitemporais. |
|
Thesagro: |
Sensoriamento Remoto; Uso da Terra. |
|
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/148284/1/31.pdf
|
|
Marc: |
LEADER 02860nam a2200193 a 4500
001 1333971
005 2021-10-26
008 2008 bl uuuu u00u1 u #d
100 1 $aJONATHAN, M.
245 $aField-oriented assessment of agricultural crops through temporal segmentation of modis VI data.$h[electronic resource]
260 $aInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v. 37, pt. B7, p. 921-926, 2008. Edition of Proceedings of XXI ISPRS Congress, Beijing, Jul. 2008.$c2008
520 $aMonitoring agricultural crops constitutes a vital task for the general understanding of land use spatio-temporal dynamics. This paper presents an approach for the enhancement of current crop monitoring capabilities on a regional scale, in order to allow for the analysis of environmental and socio-economic drivers and impacts of agricultural land use. This work discusses the advantages and current limitations of using 250m VI data from the Moderate Resolution Imaging Spectroradiometer (MODIS) for this purpose, with emphasis in the difficulty of correctly analyzing pixels whose temporal responses are disturbed due to certain sources of interference such as mixed or heterogeneous land cover. It is shown that the influence of noisy or disturbed pixels can be minimized, and a much more consistent and useful result can be attained, if individual agricultural fields are identified and each field's pixels are analyzed in a collective manner. As such, a method is proposed that makes use of image segmentation techniques based on MODIS temporal information in order to identify portions of the study area that agree with actual agricultural field borders. The pixels of each portion or segment are then analyzed individually in order to estimate the reliability of the temporal signal observed and the consequent relevance of any estimation of land use from that data. The proposed method was applied in the state of Mato Grosso, in mid-western Brazil, where extensive ground truth data was available. Experiments were carried out using several supervised classification algorithms as well as different subsets of land cover classes, in order to test the methodology in a comprehensive way. Results show that the proposed method is capable of consistently improving classification results not only in terms of overall accuracy but also qualitatively by allowing a better understanding of the land use patterns detected. It thus provides a practical and straightforward procedure for enhancing crop-mapping capabilities using temporal series of moderate resolution remote sensing data.
650 $aSensoriamento Remoto
650 $aUso da Terra
653 $aMapeamento de culturas
653 $aProcessamento de imagens multitemporais
700 1 $aARVOR, D.
700 1 $aMEIRELLES, M. S. P.
700 1 $aDUBREUIL, V.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Solos (CNPS) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Expressão de busca inválida. Verifique!!! |
|
|
