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Registro Completo |
Biblioteca(s): |
Embrapa Solos. |
Data corrente: |
22/11/2002 |
Data da última atualização: |
07/10/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
MENDONÇA SANTOS, M. de L.; GUENAT, C.; THEVOZ, C.; BUREAU, F.; VEDY, J. C. |
Afiliação: |
MARIA DE LOURDES M SANTOS BREFIN, CNPS. |
Título: |
Impacts of embanking on the soil-vegetation relationships in a floodplain ecosystem of a pre-alpine river. |
Ano de publicação: |
1997 |
Fonte/Imprenta: |
Global Ecology and Biogeography Letters, v. 6, n. 3/4, p. 339-348, May/Jul. 1997. |
DOI: |
https://doi.org/10.2307/2997748 |
Idioma: |
Inglês |
Conteúdo: |
Most of the Swiss floodplains of national importance are embanked. This paper describes the impacts of embankments built early this century on the soil and vegetation along a pre-alpine river. Embanking is responsible for selective retention of material (here calcareous alluvium). The variation in the quality and quantity of the alluvium is the main factor determining soil diversity. The morphological and the physicochemical properties of the soil are linked to original geomorphological position (island, old channel, distance from the embankment, etc.). The large variation in the soil is associated with a low diversity among the plant communities: from a phytosociological point of view, most of them no longer have the status of a floodplain community. Their isolation from the alluvial dynamics changes the physical conditions and speed of evolution of both the soil and the vegetation. This study shows the different kinetics of vegetation and soil following human impact. |
Palavras-Chave: |
Embankments; Flood plain; Human impact; Soil evolution. |
Thesagro: |
Solo Aluvial. |
Thesaurus Nal: |
Alluvial soils; Switzerland. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
Marc: |
LEADER 01796naa a2200265 a 4500 001 1336259 005 2021-10-07 008 1997 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.2307/2997748$2DOI 100 1 $aMENDONÇA SANTOS, M. de L. 245 $aImpacts of embanking on the soil-vegetation relationships in a floodplain ecosystem of a pre-alpine river.$h[electronic resource] 260 $c1997 520 $aMost of the Swiss floodplains of national importance are embanked. This paper describes the impacts of embankments built early this century on the soil and vegetation along a pre-alpine river. Embanking is responsible for selective retention of material (here calcareous alluvium). The variation in the quality and quantity of the alluvium is the main factor determining soil diversity. The morphological and the physicochemical properties of the soil are linked to original geomorphological position (island, old channel, distance from the embankment, etc.). The large variation in the soil is associated with a low diversity among the plant communities: from a phytosociological point of view, most of them no longer have the status of a floodplain community. Their isolation from the alluvial dynamics changes the physical conditions and speed of evolution of both the soil and the vegetation. This study shows the different kinetics of vegetation and soil following human impact. 650 $aAlluvial soils 650 $aSwitzerland 650 $aSolo Aluvial 653 $aEmbankments 653 $aFlood plain 653 $aHuman impact 653 $aSoil evolution 700 1 $aGUENAT, C. 700 1 $aTHEVOZ, C. 700 1 $aBUREAU, F. 700 1 $aVEDY, J. C. 773 $tGlobal Ecology and Biogeography Letters$gv. 6, n. 3/4, p. 339-348, May/Jul. 1997.
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Embrapa Solos (CNPS) |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
24/01/2024 |
Data da última atualização: |
06/02/2024 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 4 |
Autoria: |
BARBEDO, J. G. A. |
Afiliação: |
JAYME GARCIA ARNAL BARBEDO, CNPTIA. |
Título: |
Deep learning for soybean monitoring and management. |
Ano de publicação: |
2023 |
Fonte/Imprenta: |
Seeds, v. 2, n. 3, p. 340–356, Sept. 2023. |
DOI: |
https://doi.org/10.3390/ seeds2030026 |
Idioma: |
Inglês |
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. |
Palavras-Chave: |
Aprendizado profundo; Culturas de soja; Deep learning; Imagem digital; Inteligência artificial. |
Thesagro: |
Glycine Max. |
Thesaurus NAL: |
Artificial intelligence; Crops; Digital images. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1161254/1/AP-Deep-learning-soybean-2023.pdf
|
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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