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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
28/10/2014 |
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Data da última atualização: |
08/01/2020 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
SPERANZA, E. A.; CIFERRI, R. R.; GREGO, C. R.; VICENTE, L. E. |
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Afiliação: |
EDUARDO ANTONIO SPERANZA, CNPTIA; RICARDO RODRIGUES CIFERRI, UFSCar; CÉLIA REGINA GREGO, CNPM; LUIZ EDUARDO VICENTE, CNPM. |
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Título: |
A cluster-based approach to support the delineation of management zones in precision agriculture. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
In: IEEE INTERNATIONAL CONFERENCE ON E-SCIENCE, 10., 2014, Guarujá, SP. Conference proceedings. [S.l.]: Conferente Publishing Services, 2014. |
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Páginas: |
p. 119-126. |
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DOI: |
DOI 10.1109/eScience.2014.42 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract-In this paper we propose a cluster-based approach for the delineation of management zones in precision agriculture. The proposed approach was built following the steps of data mining for the clustering task, resulting in a computer application that generates maps of management zones and yield areas, allowing to compare them using known statistical indexes. The basis for this implementation was a model previously published in the literature that uses only historical productivity, soil electrical conductivity and relief data to generate the maps. The main difference of our work with respect to the previous model is the clustering algorithms used in the step of extracting patterns. While the original model uses only the fuzzy c-means algorithm, the model developed in this study uses the GKCluster extension to this algorithm, able to detect clusters with different geometrical shapes. From the tests performed with the new proposed model, we achieved about 76% of correlation between maps of yield and management zones from kappa index, and about 85% of correlation from overall accuracy. The original model reached, according to the authors, a maximum correlation of 49% from kappa index, and 70% from overall accuracy. |
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Palavras-Chave: |
Clusterização; Management zones; Mineração de dados espaciais; Spatial data mining. |
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Thesagro: |
Agricultura de precisão. |
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Thesaurus Nal: |
Cluster analysis; Precision agriculture. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 02132nam a2200253 a 4500
001 1998706
005 2020-01-08
008 2014 bl uuuu u00u1 u #d
024 7 $aDOI 10.1109/eScience.2014.42$2DOI
100 1 $aSPERANZA, E. A.
245 $aA cluster-based approach to support the delineation of management zones in precision agriculture.$h[electronic resource]
260 $aIn: IEEE INTERNATIONAL CONFERENCE ON E-SCIENCE, 10., 2014, Guarujá, SP. Conference proceedings. [S.l.]: Conferente Publishing Services$c2014
300 $ap. 119-126.
520 $aAbstract-In this paper we propose a cluster-based approach for the delineation of management zones in precision agriculture. The proposed approach was built following the steps of data mining for the clustering task, resulting in a computer application that generates maps of management zones and yield areas, allowing to compare them using known statistical indexes. The basis for this implementation was a model previously published in the literature that uses only historical productivity, soil electrical conductivity and relief data to generate the maps. The main difference of our work with respect to the previous model is the clustering algorithms used in the step of extracting patterns. While the original model uses only the fuzzy c-means algorithm, the model developed in this study uses the GKCluster extension to this algorithm, able to detect clusters with different geometrical shapes. From the tests performed with the new proposed model, we achieved about 76% of correlation between maps of yield and management zones from kappa index, and about 85% of correlation from overall accuracy. The original model reached, according to the authors, a maximum correlation of 49% from kappa index, and 70% from overall accuracy.
650 $aCluster analysis
650 $aPrecision agriculture
650 $aAgricultura de precisão
653 $aClusterização
653 $aManagement zones
653 $aMineração de dados espaciais
653 $aSpatial data mining
700 1 $aCIFERRI, R. R.
700 1 $aGREGO, C. R.
700 1 $aVICENTE, L. E.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Agrobiologia. Para informações adicionais entre em contato com cnpab.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Agrobiologia. |
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Data corrente: |
19/06/2019 |
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Data da última atualização: |
19/11/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
FERREIRA, P. A. A.; PEREIRA. J. P. A. R.; OLIVEIRA, D. P.; VALE, H. M. M. do; JESUS, E. da C.; SOARES, A. L. de L.; NOGUEIRA, C. de O. G.; ANDRADE, M. J. B. de; MOREIRA, F. M. de S. |
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Afiliação: |
Paulo Ademar Avelar Ferrreira, UFLA; João Paulo Andrade Rezende Pereira, UFSM; Dâmiany Pádua Oliveira; Helson Mário Martins do Vale; EDERSON DA CONCEICAO JESUS, CNPAB; André Luís de Lima Soares, UNB; Cláudia de Oliveira Gonçalves Nogueira, UFLA; Messias José Bastos de Andrade, UFLA; Fatima Maria de Souza Moreira, UFLA. |
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Título: |
New rhizobia strains isolated from the Amazon region fix atmospheric nitrogen in symbiosis with cowpea and increase its yield. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Bragantia, v. 78 n.1, p. 38-42, Jan./Mar. 2019. |
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ISSN: |
0006-8705 |
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DOI: |
http://dx.doi.org/10.1590/1678-4499.2018053 |
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Idioma: |
Inglês |
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Conteúdo: |
Studies in the Amazon indicate a wide diversity of rhizobia with the ability for biological nitrogen fixation (BNF), which could expand the number of strains approved for cowpea. Thus, the aim of this field study was to evaluate the agronomic performance in cowpea of the several strains isolated from the soils of the Brazilian states Acre and Rondônia, and to compare them withstrains approved by the Ministry of Agriculture (MAPA) and withnon-inoculated controls (without and with mineral nitrogen fertilizer). |
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Palavras-Chave: |
Amazon strains; Rhizobial strains. |
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Thesaurus NAL: |
Seed inoculation; Vigna unguiculata subsp. unguiculata var. spontanea. |
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Categoria do assunto: |
S Ciências Biológicas |
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Marc: |
LEADER 01479naa a2200289 a 4500
001 2109971
005 2019-11-19
008 2019 bl uuuu u00u1 u #d
022 $a0006-8705
024 7 $ahttp://dx.doi.org/10.1590/1678-4499.2018053$2DOI
100 1 $aFERREIRA, P. A. A.
245 $aNew rhizobia strains isolated from the Amazon region fix atmospheric nitrogen in symbiosis with cowpea and increase its yield.$h[electronic resource]
260 $c2019
520 $aStudies in the Amazon indicate a wide diversity of rhizobia with the ability for biological nitrogen fixation (BNF), which could expand the number of strains approved for cowpea. Thus, the aim of this field study was to evaluate the agronomic performance in cowpea of the several strains isolated from the soils of the Brazilian states Acre and Rondônia, and to compare them withstrains approved by the Ministry of Agriculture (MAPA) and withnon-inoculated controls (without and with mineral nitrogen fertilizer).
650 $aSeed inoculation
650 $aVigna unguiculata subsp. unguiculata var. spontanea
653 $aAmazon strains
653 $aRhizobial strains
700 1 $aPEREIRA. J. P. A. R.
700 1 $aOLIVEIRA, D. P.
700 1 $aVALE, H. M. M. do
700 1 $aJESUS, E. da C.
700 1 $aSOARES, A. L. de L.
700 1 $aNOGUEIRA, C. de O. G.
700 1 $aANDRADE, M. J. B. de
700 1 $aMOREIRA, F. M. de S.
773 $tBragantia$gv. 78 n.1, p. 38-42, Jan./Mar. 2019.
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Embrapa Agrobiologia (CNPAB) |
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