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Registro Completo |
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
04/04/2002 |
Data da última atualização: |
04/03/2013 |
Autoria: |
VENDRUSCULO, L. G.; MAGALHÃES, P. S. G.; VIEIRA, S. R. |
Afiliação: |
LAURIMAR GONCALVES VENDRUSCULO, CNPTIA; Feagri/Unicamp; IAC. |
Título: |
Strategies for soil sampling and multi-layers maps generation through geostatic tools: Development of a computational system. |
Ano de publicação: |
2002 |
Fonte/Imprenta: |
In: WORLD CONGRESS OF COMPUTERS IN AGRICULTURE AND NATURAL RESOURCES, 2002, Iguaçu Falls. Proceedings... Iguaçu Falls: ASAE, 2002. |
Páginas: |
p. 244-249. |
Idioma: |
Inglês |
Notas: |
Evento realizado em Foz do Iguaçu, PR. |
Conteúdo: |
The growing demand for agricultural land is obliging the productive agents to adopt modern methods and techniques to improve yield. Mapping soil attributes has proved to be an important tools in the productivity analysis process. It is known that different soil properties are established when analyzing patterns of spatial and temporal variability. Geostatistic has been applied in the estimation and mapping of soil attributes in unsampled areas. Nevertheless, unlike classical statistics, the geostatistics takes into account the distance between samples pairs to better explain the variance and to estimative values in not sampled areas. Precision Farming comprises geostatistic and other techniques that deal with a specific management system to each field. The purpose of the precision farming is to increase the production while guaranteeing the environmental quality and waste reduction. The objective of this paper is to describe a computer program based on Windows Interfaces (Borland Delphi), able to elaborate soil maps and to perform the analyses in soil multi-layers through the use of geostatistic tools (Classical statistical calculations, Average and Directional semivariograms. Cross- semivariogram, and Simple Kriging and Cokriging estimation and Jack- knifing calculations). The system is practical to a small number of soil sampling schemes. Field data was used to assess the accuracy between the measured and estimative values. |
Palavras-Chave: |
Amostragem de solo; Aplicação Delphi; Geoestatística. |
Thesagro: |
Agricultura de Precisão. |
Thesaurus Nal: |
Geostatistics; Precision agriculture. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
Marc: |
LEADER 02297naa a2200241 a 4500 001 1006413 005 2013-03-04 008 2002 bl uuuu u00u1 u #d 100 1 $aVENDRUSCULO, L. G. 245 $aStrategies for soil sampling and multi-layers maps generation through geostatic tools$bDevelopment of a computational system. 260 $c2002 300 $ap. 244-249. 500 $aEvento realizado em Foz do Iguaçu, PR. 520 $aThe growing demand for agricultural land is obliging the productive agents to adopt modern methods and techniques to improve yield. Mapping soil attributes has proved to be an important tools in the productivity analysis process. It is known that different soil properties are established when analyzing patterns of spatial and temporal variability. Geostatistic has been applied in the estimation and mapping of soil attributes in unsampled areas. Nevertheless, unlike classical statistics, the geostatistics takes into account the distance between samples pairs to better explain the variance and to estimative values in not sampled areas. Precision Farming comprises geostatistic and other techniques that deal with a specific management system to each field. The purpose of the precision farming is to increase the production while guaranteeing the environmental quality and waste reduction. The objective of this paper is to describe a computer program based on Windows Interfaces (Borland Delphi), able to elaborate soil maps and to perform the analyses in soil multi-layers through the use of geostatistic tools (Classical statistical calculations, Average and Directional semivariograms. Cross- semivariogram, and Simple Kriging and Cokriging estimation and Jack- knifing calculations). The system is practical to a small number of soil sampling schemes. Field data was used to assess the accuracy between the measured and estimative values. 650 $aGeostatistics 650 $aPrecision agriculture 650 $aAgricultura de Precisão 653 $aAmostragem de solo 653 $aAplicação Delphi 653 $aGeoestatística 700 1 $aMAGALHÃES, P. S. G. 700 1 $aVIEIRA, S. R. 773 $tIn: WORLD CONGRESS OF COMPUTERS IN AGRICULTURE AND NATURAL RESOURCES, 2002, Iguaçu Falls. Proceedings... Iguaçu Falls: ASAE, 2002.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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Registros recuperados : 30 | |
2. | | FERREIRA, M. D.; MAGALHÃES, P. S. G. Colheita. In: FERREIRA, M. D. (Ed.). Colheita e beneficiamento de frutas e hortaliças. São Carlos, SP: Embrapa Instrumentação Agropecuária, 2008. p. 15-22.Tipo: Capítulo em Livro Técnico-Científico |
Biblioteca(s): Embrapa Instrumentação. |
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11. | | DIAS, H. B.; CUADRA, S. V.; BOOTE, K. J.; LAMPARELLI, R. A. C.; FIGUEIREDO, G. K. D. A.; SUYKER, A. E.; MAGALHÃES, P. S. G.; HOOGENBOOM, G. Coupling the CSM-CROPGRO-Soybean crop model with the ECOSMOS Ecosystem Model: an evaluation with data from an AmeriFlux site. Agricultural and Forest Meteorology, v. 342, 109697, 2023.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Agricultura Digital. |
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12. | | BUENO, I. T.; ANTUNES, J. F. G.; REIS, A. A. dos; WERNER, J. P. S.; TORO, A. P.; FIGUEIREDO, G. K. D. A.; ESQUERDO, J. C. D. M.; LAMPARELLI, R. A. C.; COUTINHO, A. C.; MAGALHÃES, P. S. G. Mapping integrated crop-livestock systems in Brazil with planetscope time series and deep learning. Remote Sensing of Environment, v. 299, 113886, Dec. 2023.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Agricultura Digital. |
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13. | | GREGO, C. R.; ARAUJO, L. S. de; VICENTE, L. E.; NOGUEIRA, S. F.; MAGALHÃES, P. S. G.; VICENTE, A. K.; BRANCALIÃO, S. R.; VICTORIA, D. de C.; BOLFE, E. L. Agricultura de precisão em cana-de-açúcar. In: BERNARDI, A. C. de C.; NAIME, J. de M.; RESENDE, A. V. de; BASSOI, L. H.; INAMASU, R. Y. (Ed.). Agricultura de precisão: resultados de um novo olhar. Brasília, DF: Embrapa, 2014. p. 442-457.Tipo: Capítulo em Livro Técnico-Científico |
Biblioteca(s): Embrapa Territorial. |
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14. | | REIS, A. A. dos; WERNER, J. P. S.; SILVA, B. C.; FIGUEIREDO, G. K. D. A.; ANTUNES, J. F. G.; ESQUERDO, J. C. D. M.; COUTINHO, A. C.; LAMPARELLI, R. A. C.; ROCHA, J. V.; MAGALHÃES, P. S. G. Monitoring pasture aboveground biomass and canopy height in an integrated crop-livestock system using textural information from PlanetScope imagery. Remote Sensing, v. 12, n. 16, p. 1-21, Aug. 2020. Article number: 2534.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Agricultura Digital. |
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15. | | DIAS, H. B.; CUADRA, S. V.; FIGUEIREDO, G. K. D. A.; LAMPARELLI, R. A. C.; SILVA, L. E. A.; SILVA, Y. F. da; MORO, E.; ALVES, M. R.; MAGALHÃES, P. S. G. Modelling integrated crop-livestock systems: preliminary results from an agroecosystem model. In: WORLD CONGRESS ON INTEGRATED CROP-LIVESTOCK-FORESTRY SYSTEMS, 2., 2021. Proceedings reference. Brasília, DF: Embrapa, 2021. p. 782-787. WCCLF 2021. Evento online.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Agricultura Digital. |
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16. | | TORO, A. P. S. G. D.; WERNER, J. P. S.; REIS, A. A. dos; ESQUERDO, J. C. D. M.; ANTUNES, J. F. G.; COUTINHO, A. C.; LAMPARELLI, R. A. C.; MAGALHÃES, P. S. G.; FIGUEIREDO, G. K. D. A. Evaluation of early season mapping of integrated crop livestock systems using Sentinel-2 data. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v. 43, B3, p. 1335-1340, 2022. Edition of proceedings of the 2022 edition of the XXIVth ISPRS Congress, Nice, France.Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 2 |
Biblioteca(s): Embrapa Agricultura Digital. |
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17. | | REIS, A. A. dos; WERNER, J. P. S.; SILVA, B. C. da; ANTUNES, J. F. G.; ESQUERDO, J. C. D. M.; FIGUEIREDO, G. K. D. A.; COUTINHO, A. C.; LAMPARELLI, R. A. C.; MAGALHÃES, P. S. G. Can canopy height of mixed pastures in integrated crop-livestock systems be estimated using planetscope imagery? In: WORLD CONGRESS ON INTEGRATED CROP-LIVESTOCK-FORESTRY SYSTEMS, 2., 2021. Proceedings reference. Brasília, DF: Embrapa, 2021. p. 658-663. WCCLF 2021. Evento online.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Agricultura Digital. |
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18. | | ALMEIDA, H. S. L.; REIS, A. A. dos; WERNER, J. P. S.; ANTUNES, J. F. G.; ZHONG, L.; FIGUEIREDO, G. K. D. A.; ESQUERDO, J. C. D. M.; COUTINHO, A. C.; LAMPARELLI, R. A. C.; MAGALHÃES, P. S. G. Deep neural networks for mapping integrated crop-livestock systems using PlanetScope time series. IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2021, Brussels. Proceedings [...]. [S. l.]: IEEE, 2021. p. 4224-4227. IGARSS 2021. Paper WE2.MM-8.3.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Agricultura Digital. |
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19. | | CARVALHO, J. R. P. de; VIEIRA, S. R.; DECHEN, S. C. F.; MARIA, I. C. de; MARINHO, P. R. R.; POTT, C. A.; DUFRANC, G.; MAGALHÃES, P. S. G. Spatial variability of soil water movement properties on a medium texture soil in São Paulo - Brazil. In: EUROPEAN CONFERENCE OF THE EUROPEAN FEDERATION FOR INFORMATION TECHNOLOGY IN AGRICULTURE FOOD AND THE ENVIRONMENT, 3., 2001, Montpellier. Book of abstracts. Montpellier: Agro Montpellier: Enita de Bourdeaux, 2001. p. 14. EFITA 2001.Biblioteca(s): Embrapa Agricultura Digital. |
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20. | | TORO, A. P. S. G. D. D.; BUENO, I. T.; WERNER, J. P. S.; ANTUNES, J. F. G.; LAMPARELLI, R. A. C.; COUTINHO, A. C.; ESQUERDO, J. C. D. M.; MAGALHÃES, P. S. G.; FIGUEIREDO, G. K. D. A. SAR and optical data applied to early-season mapping of integrated crop-livestock systems using deep and machine learning algorithms. Remote Sensing, v. 15, n. 4, 1130, Feb. 2023.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Agricultura Digital. |
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Registros recuperados : 30 | |
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