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Registro Completo |
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Biblioteca(s): |
Embrapa Pantanal. |
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Data corrente: |
17/11/1997 |
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Data da última atualização: |
05/04/2017 |
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Autoria: |
SILVA, R. A. M. S. |
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Afiliação: |
EMBRAPA Pantanal (Corumba, MS). |
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Título: |
Influence of physical exercise on heart rate, rectal temperature and blood biochemistry in Pantaneiro horses. |
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Ano de publicação: |
1993 |
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Fonte/Imprenta: |
Draught Animal News, Edinburgh, n.18, p.16-19, May, 1993. |
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Idioma: |
Inglês |
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Conteúdo: |
The Pantanal region is a plain of some 139,000 square kilometres at an altitude of 80-150m above sea level. The climate is tropical an annual rainfall of 1.262mm, mostly falling between October and March. The Pantaneiro horse originates from the horses bought by the Spanish explorers arriving in the region around 1553. During this year an expedition by Dom Pedro de Mendoza was attacked by Querands Indians and 72 horses were stolen. The present day Pantaneiro breeds is directly descendent from these horses. |
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Palavras-Chave: |
Brasil; Cavalo pantaneiro; Pantaneiro horse. |
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Thesagro: |
Fisiologia Animal. |
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Thesaurus Nal: |
animal physiology; Brazil; Pantanal. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01112naa a2200205 a 4500
001 1791901
005 2017-04-05
008 1993 bl --- 0-- u #d
100 1 $aSILVA, R. A. M. S.
245 $aInfluence of physical exercise on heart rate, rectal temperature and blood biochemistry in Pantaneiro horses.
260 $c1993
520 $aThe Pantanal region is a plain of some 139,000 square kilometres at an altitude of 80-150m above sea level. The climate is tropical an annual rainfall of 1.262mm, mostly falling between October and March. The Pantaneiro horse originates from the horses bought by the Spanish explorers arriving in the region around 1553. During this year an expedition by Dom Pedro de Mendoza was attacked by Querands Indians and 72 horses were stolen. The present day Pantaneiro breeds is directly descendent from these horses.
650 $aanimal physiology
650 $aBrazil
650 $aPantanal
650 $aFisiologia Animal
653 $aBrasil
653 $aCavalo pantaneiro
653 $aPantaneiro horse
773 $tDraught Animal News, Edinburgh$gn.18, p.16-19, May, 1993.
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Registro original: |
Embrapa Pantanal (CPAP) |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
24/01/2024 |
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Data da última atualização: |
06/02/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 4 |
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Autoria: |
BARBEDO, J. G. A. |
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Afiliação: |
JAYME GARCIA ARNAL BARBEDO, CNPTIA. |
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Título: |
Deep learning for soybean monitoring and management. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Seeds, v. 2, n. 3, p. 340–356, Sept. 2023. |
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DOI: |
https://doi.org/10.3390/ seeds2030026 |
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Idioma: |
Inglês |
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Conteúdo: |
This review characterizes the current state of the art of deep learning applied to soybean crops, detailing the main advancements achieved so far and, more importantly, providing an in-depth analysis of the main challenges and research gaps that still remain. |
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Palavras-Chave: |
Aprendizado profundo; Culturas de soja; Deep learning; Imagem digital; Inteligência artificial. |
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Thesagro: |
Glycine Max. |
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Thesaurus NAL: |
Artificial intelligence; Crops; Digital images. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1161254/1/AP-Deep-learning-soybean-2023.pdf
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Marc: |
LEADER 00958naa a2200241 a 4500
001 2161254
005 2024-02-06
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.3390/ seeds2030026$2DOI
100 1 $aBARBEDO, J. G. A.
245 $aDeep learning for soybean monitoring and management.$h[electronic resource]
260 $c2023
520 $aThis review characterizes the current state of the art of deep learning applied to soybean crops, detailing the main advancements achieved so far and, more importantly, providing an in-depth analysis of the main challenges and research gaps that still remain.
650 $aArtificial intelligence
650 $aCrops
650 $aDigital images
650 $aGlycine Max
653 $aAprendizado profundo
653 $aCulturas de soja
653 $aDeep learning
653 $aImagem digital
653 $aInteligência artificial
773 $tSeeds$gv. 2, n. 3, p. 340–356, Sept. 2023.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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