| |
|
|
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Territorial. |
|
Data corrente: |
10/01/2023 |
|
Data da última atualização: |
10/01/2023 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Autoria: |
SILVA, M. A. S. da; MATOS, L. N.; SANTOS, F. E. DE O.; DOMPIERI, M. H. G.; MOURA, F. R. DE. |
|
Afiliação: |
MARCOS AURELIO SANTOS DA SILVA, CPATC; LEONARDO NOGUEIRA MATOS, UNIVERSIDADE FEDERAL DE SERGIPE; FLÁVIO EMANUEL DE OLIVEIRA SANTOS, UNIVERSIDADE FEDERAL DO SERGIPE; MARCIA HELENA GALINA DOMPIERI, CNPM; FÁBIO RODRIGUES DE MOURA, UNIVERSIDADE FEDERAL DE SERGIPE. |
|
Título: |
Tracking the Connection between Brazilian Agricultural Diversity and Native Vegetation Change by a Machine Learning Approach. |
|
Ano de publicação: |
2022 |
|
Fonte/Imprenta: |
IEEE Latin America Transactions, v. 20, n. 11, nov., 2022. |
|
Páginas: |
p. 2371-2380. |
|
ISBN: |
1548-0992 |
|
DOI: |
https://latamt.ieeer9.org/index.php/transactions/article/view/6813 |
|
Idioma: |
Inglês |
|
Conteúdo: |
ABSTRACT - In Brazil, agribusiness has a considerable role in the country?s GDP. Because of this, the State needs territorial planning to minimize the impacts on natural resources, especially in the Pantanal and Amazon biomes, where agribusiness has expanded. The lower the agricultural diversification, the lower the pattern of land use homogeneity, generally associated with agribusiness, especially when it occupies large areas with more technological productive units. This paper investigates the relationship between spatial diversification patterns and the dynamics of native vegetation in Brazil. We propose a feature engineering and clustering approach for 5570 Brazilian municipalities between 1999 and 2018. It was based on the unsupervised artificial neural network Self-Organizing Map (SOM) to divide the municipalities into homogeneous groups of agricultural products diversity trends. The results were compared with the change in vegetation area using data from the national land use-mapping project called Mapbiomas. The analysis allowed the identification of three different regimes of modification in native vegetation, particularly related to municipalities in Brazil?s Midwest and North regions, indicating substantial changes in the Cerrado and Amazon biomes. |
|
Palavras-Chave: |
Clustering; Self-Organizing Maps; Shannon's entropy; Spatial panel data; Sustainability. |
|
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1150825/1/6081.pdf
|
|
Marc: |
LEADER 02154naa a2200265 a 4500
001 2150825
005 2023-01-10
008 2022 bl uuuu u00u1 u #d
022 $a1548-0992
024 7 $ahttps://latamt.ieeer9.org/index.php/transactions/article/view/6813$2DOI
100 1 $aSILVA, M. A. S. da
245 $aTracking the Connection between Brazilian Agricultural Diversity and Native Vegetation Change by a Machine Learning Approach.$h[electronic resource]
260 $c2022
300 $ap. 2371-2380.
520 $aABSTRACT - In Brazil, agribusiness has a considerable role in the country?s GDP. Because of this, the State needs territorial planning to minimize the impacts on natural resources, especially in the Pantanal and Amazon biomes, where agribusiness has expanded. The lower the agricultural diversification, the lower the pattern of land use homogeneity, generally associated with agribusiness, especially when it occupies large areas with more technological productive units. This paper investigates the relationship between spatial diversification patterns and the dynamics of native vegetation in Brazil. We propose a feature engineering and clustering approach for 5570 Brazilian municipalities between 1999 and 2018. It was based on the unsupervised artificial neural network Self-Organizing Map (SOM) to divide the municipalities into homogeneous groups of agricultural products diversity trends. The results were compared with the change in vegetation area using data from the national land use-mapping project called Mapbiomas. The analysis allowed the identification of three different regimes of modification in native vegetation, particularly related to municipalities in Brazil?s Midwest and North regions, indicating substantial changes in the Cerrado and Amazon biomes.
653 $aClustering
653 $aSelf-Organizing Maps
653 $aShannon's entropy
653 $aSpatial panel data
653 $aSustainability
700 1 $aMATOS, L. N.
700 1 $aSANTOS, F. E. DE O.
700 1 $aDOMPIERI, M. H. G.
700 1 $aMOURA, F. R. DE
773 $tIEEE Latin America Transactions$gv. 20, n. 11, nov., 2022.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Territorial (CNPM) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
| Registros recuperados : 9 | |
| 3. |  | SANTOS, F. E. de O.; SILVA, M. A. S. da; MATOS, L. N.; MOURA, F. R. de; DOMPIERI, M. H. G. Segmentação da diversidade espaço-temporal da agricultura brasileira por meio de uma abordagem baseada em aprendizado de máquina. In: SEMINÁRIO DE INICIAÇÃO CIENTÍFICA E PÓS-GRADUAÇÃO DA EMBRAPA TABULEIROS COSTEIROS, 10., 2021, Aracaju. Anais... Brasília, DF: Embrapa, 2021. p. 59-63.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Territorial. |
|   |
| 4. | | SANTOS, F. E. de O.; SILVA, M. A. S. da; MATOS, L. N.; MOURA, F. R. de; DOMPIERI, M. H. G. Segmentação da diversidade espaço-temporal da agricultura brasileira por meio de uma abordagem baseada em aprendizado de máquina. In: SEMINÁRIO DE INICIAÇÃO CIENTÍFICA E PÓS-GRADUAÇÃO DA EMBRAPA TABULEIROS COSTEIROS, 10., 2021, Aracaju. Anais... Brasília, DF: Embrapa, 2021. p. 59-63.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Tabuleiros Costeiros. |
|  |
| Registros recuperados : 9 | |
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
