|
|
Registro Completo |
Biblioteca(s): |
Embrapa Agrobiologia. |
Data corrente: |
27/06/1995 |
Data da última atualização: |
27/06/1995 |
Autoria: |
ALLEN, M. F.; RICHARDS, J. H.; BUSSO, C. A. |
Título: |
Influence of clipping and soil water status on vesicular-arbuscular mycorrhizae of two semi-arid tussock grasses. |
Ano de publicação: |
1989 |
Fonte/Imprenta: |
Biol. Fertil. Soils, v. 8, n. 4, p. 285-289, 1989. |
Idioma: |
Português |
Palavras-Chave: |
Agropyron spicatum; Distribuição de nutriente; Micorriza/va. |
Thesagro: |
Colonização; Crescimento; Fertilidade do Solo; Glomus Fasciculatum; Infecção; Umidade. |
Thesaurus Nal: |
Agropyron desertorum. |
Categoria do assunto: |
-- |
Marc: |
LEADER 00756naa a2200253 a 4500 001 1611313 005 1995-06-27 008 1989 bl uuuu u00u1 u #d 100 1 $aALLEN, M. F. 245 $aInfluence of clipping and soil water status on vesicular-arbuscular mycorrhizae of two semi-arid tussock grasses. 260 $c1989 650 $aAgropyron desertorum 650 $aColonização 650 $aCrescimento 650 $aFertilidade do Solo 650 $aGlomus Fasciculatum 650 $aInfecção 650 $aUmidade 653 $aAgropyron spicatum 653 $aDistribuição de nutriente 653 $aMicorriza/va 700 1 $aRICHARDS, J. H. 700 1 $aBUSSO, C. A. 773 $tBiol. Fertil. Soils$gv. 8, n. 4, p. 285-289, 1989.
Download
Esconder MarcMostrar Marc Completo |
Registro original: |
Embrapa Agrobiologia (CNPAB) |
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
Registro Completo
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
04/02/2014 |
Data da última atualização: |
06/02/2014 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
MAIA, A. P. de; OLIVEIRA, S. R. de M.; MOURA, D. J. de; SARUBBI, J.; VERCELLINO, R. do A.; MEDEIROS, B. B. L.; GRISKA, P. R. |
Afiliação: |
ANA PAULA DE ASSIS MAIA, Unicamp, Feagri; STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; DANIELLA JORGE DE MOURA, Unicamp, Feagri; JULIANA SARUBBI, Universidade Federal de Santa Maria, RS; RIMENA DO AMARAL VERCELLINO, Unicamp, Feagri; BRENDA BATISTA LEMOS MEDEIROS, Unicamp, Feagri; PAULO ROBERTO GRISKA, Faculdade de Jaguariúna, SP. |
Título: |
A decision-tree-based model for evaluating the thermal comfort of horses. |
Ano de publicação: |
2013 |
Fonte/Imprenta: |
Scientia Agricola, Piracicaba, v. 70, n. 6, p. 377-383, Nov./Dec. 2013. |
Idioma: |
Inglês |
Conteúdo: |
ABSTRACT: 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 (TS). This study aimed to assess the potential of data mining techniques as a tool to associate surface temperature with thermal comfort of horses. TS was obtained using infrared thermography image processing. Physiological and environmental variables were used to defi ne the predicted class, which classifi ed thermal comfort as ?comfort? and ?discomfort?. The variables of armpit, croup, breast and groin TS of horses and the predicted classes were then subjected to a machine learning process. All variables in the dataset were considered relevant for the classifi cation problem and the decision-tree model yielded an accuracy rate of 74 %. The feature selection methods used to reduce computational cost and simplify predictive learning decreased model accuracy to 70 %; however, the model became simpler with easily interpretable rules. For both these selection methods and for the classifi cation using all attributes, armpit and breast TS had a higher power rating for predicting thermal comfort. Data mining techniques show promise in the discovery of new variables associated with the thermal comfort of horses. |
Palavras-Chave: |
Conforto térmico de cavalos; Mineração de dados; Termografia. |
Thesagro: |
Termorregulação. |
Thesaurus NAL: |
Surface temperature; Thermoregulation. |
Categoria do assunto: |
S Ciências Biológicas |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/96318/1/2013-Scientia-data-mining-horses.pdf
|
Marc: |
LEADER 02181naa a2200265 a 4500 001 1978404 005 2014-02-06 008 2013 bl uuuu u00u1 u #d 100 1 $aMAIA, A. P. de 245 $aA decision-tree-based model for evaluating the thermal comfort of horses.$h[electronic resource] 260 $c2013 520 $aABSTRACT: 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 (TS). This study aimed to assess the potential of data mining techniques as a tool to associate surface temperature with thermal comfort of horses. TS was obtained using infrared thermography image processing. Physiological and environmental variables were used to defi ne the predicted class, which classifi ed thermal comfort as ?comfort? and ?discomfort?. The variables of armpit, croup, breast and groin TS of horses and the predicted classes were then subjected to a machine learning process. All variables in the dataset were considered relevant for the classifi cation problem and the decision-tree model yielded an accuracy rate of 74 %. The feature selection methods used to reduce computational cost and simplify predictive learning decreased model accuracy to 70 %; however, the model became simpler with easily interpretable rules. For both these selection methods and for the classifi cation using all attributes, armpit and breast TS had a higher power rating for predicting thermal comfort. Data mining techniques show promise in the discovery of new variables associated with the thermal comfort of horses. 650 $aSurface temperature 650 $aThermoregulation 650 $aTermorregulação 653 $aConforto térmico de cavalos 653 $aMineração de dados 653 $aTermografia 700 1 $aOLIVEIRA, S. R. de M. 700 1 $aMOURA, D. J. de 700 1 $aSARUBBI, J. 700 1 $aVERCELLINO, R. do A. 700 1 $aMEDEIROS, B. B. L. 700 1 $aGRISKA, P. R. 773 $tScientia Agricola, Piracicaba$gv. 70, n. 6, p. 377-383, Nov./Dec. 2013.
Download
Esconder MarcMostrar Marc Completo |
Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
Nenhum registro encontrado para a expressão de busca informada. |
|
|