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| Registros recuperados: 98 | |
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| Maia,Ana Paula de Assis; Oliveira,Stanley Robson de Medeiros; Moura,Daniella Jorge de; Sarubbi,Juliana; Vercellino,Rimena do Amaral; Medeiros,Brenda Batista Lemos; Griska,Paulo Roberto. |
| Thermal comfort is of great importance in preserving body temperature homeostasis during thermal stress conditions. Although the thermal comfort of horses has been widely studied, there is no report of its relationship with surface temperature (T S). This study aimed to assess the potential of data mining techniques as a tool to associate surface temperature with thermal comfort of horses. T S was obtained using infrared thermography image processing. Physiological and environmental variables were used to define the predicted class, which classified thermal comfort as "comfort" and "discomfort". The variables of armpit, croup, breast and groin T S of horses and the predicted classes were then subjected to a machine learning process. All variables in the... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Feature selection methods; Data mining; Surface temperature; Infrared thermography; Thermoregulation. |
| Ano: 2013 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162013000600001 |
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| Pereira,Paulo Rodrigo Ramos Xavier; Barcellos,Júlio Otávio Jardim; Federizzi,Luiz Carlos; Lampert,Vinícius do Nascimento; Canozzi,Maria Eugênia Andrighetto; Marques,Pedro Rocha. |
| The objectives of this research were to analyse data on the international market of frozen boneless beef and to classify its participants into groups according to their trade relationships, identifying the main factors that influence the preference of a country to beef from a determined supplier country. International beef trade is composed of two markets: in one of them, the relationships between supplier and client depend on the lowest price, and Brazil is found in favorable conditions; and the other, the relationships are preferably based on the sanitary quality of the herd and traceability systems recognized by the purchaser, to which Brazilian participation is low. |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Bovine spongiform encephalopaty (BSE); Cluster analysis; Data mining; Foot and mouth disease; International trade beef. |
| Ano: 2011 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982011000100028 |
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| AMARAL, B. F.; CHINO, D. Y.; ROMANI, L. A. S.; GONÇALVES, R. R. V.; SOUSA, E. P. M. de; TRAINA, A. J. M.. |
| Resumo. O impacto causado por eventos climáticos extremos em todo o mundo tem motivado pesquisas para redução de gases de efeito estufa. No Brasil, a cana-de-açúcar é a principal fonte para produção de etanol, como alternativa a combustíveis fósseis. Nesse contexto, dados de sensoriamento remoto têm sido utilizados para monitorar safras de cana-de-açúcar e apoiar pesquisas científicas. Neste trabalho, é proposta uma metodologia baseada em agrupamento de dados para analisar séries temporais de NDVI obtidas de satélites AVHRR/NOAA. Os experimentos mostram que a abordagem proposta permite identificar áreas com padrões de desenvolvimento similares, considerando também os diferentes ciclos de vida da cultura. |
| Tipo: Anais e Proceedings de eventos |
Palavras-chave: Mineração de dados; Safras de cana-de-açúcar; Análise de séries temporais; Clusterização; Data mining; Clustering.; Sugarcane; Time series analysis.. |
| Ano: 2011 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/898217 |
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| OLDONI, L. V.; CATTANI, C. E. V.; MERCANTE, E.; JOHANN, J. A.; ANTUNES, J. F. G.; ALMEIDA, L.. |
| ABSTRACT: In the state of Paraná, Brazil, there are no major changes in areas cultivated with annual crops, mainly due to environmental laws that do not allow expansions to new areas. There is a great contribution of the annual crops to the domestic demand of food and economic demand in the exports. Thus, the area and distribution of annual crops are information of great importance. New methodologies, such as data mining, are being tested with the objective of analyzing and improving their potential use for classification of land use and land cover. This study used the classifiers decision tree and random forest with Normalized Difference Vegetation Index (NDVI) temporal metrics on images from Operational Land Imager (OLI)/Landsat-8. The results were... |
| Tipo: Artigo de periódico |
Palavras-chave: Árvore de decisão; Métricas temporais de NDVI; Mineração de dados; Séries temporais; Decision tree; NDVI temporal metrics; Random forest; Data mining; Normalized difference vegetation index; Time series analysis. |
| Ano: 2019 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1114915 |
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| Registros recuperados: 98 | |
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