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Registro Completo |
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Biblioteca(s): |
Embrapa Clima Temperado; Embrapa Pecuária Sudeste. |
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Data corrente: |
08/03/2024 |
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Data da última atualização: |
11/03/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
FILIPPINI ALBA, J. M.; FLORES, C. A.; BERNARDI, A. C. de C. |
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Afiliação: |
JOSE MARIA FILIPPINI ALBA, CPACT; CARLOS ALBERTO FLORES, CPACT; ALBERTO CARLOS DE CAMPOS BERNARDI, CPPSE. |
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Título: |
Pedology in Precision Agriculture from a Brazilian context. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Revista de Ciências Agrícolas, v. 40, n. 3, e3216, Sept.-Dec. 2023. |
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ISSN: |
2256-2273 |
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DOI: |
https://doi.org/10.22267/rcia.20234003.216 |
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Idioma: |
Inglês |
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Conteúdo: |
Precision agriculture (PA) is advancing in Brazil concerning several crops, mainly for medium to large-sized farms, occasionally evolving towards automation and digital agriculture. Soil knowledge is fundamental in this process, requiring studies on a detailed scale greater than 1:5,000, and demanding overcoming soil taxonomy concepts. This review article presents and discusses the most effective methods of PA from a soil management perspective, inducing advances for farming and producers in Brazil. Topography, electrical conductivity, proximal and remote sensing, and productivity work outlined soil mapping and their relationship to soil. The modeling of topographic variables through artificial intelligence offers new perspectives. The soil's apparent electrical conductivity can work at various depths, providing information about several pedological parameters. Finally, proximal, and remote sensing techniques could simulate different soil attributes, potentially integrating productivity data on studying plant attributes. Despite some differences, the four themes are complementary, and integrating data through geographic information systems results in a consistent option for defining management zones. |
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Thesagro: |
Agricultura de Precisão; Análise do Solo; Sensoriamento Remoto; Solo. |
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Categoria do assunto: |
--
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1162708/1/ARTICULO-4.pdf
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Marc: |
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022 $a2256-2273
024 7 $ahttps://doi.org/10.22267/rcia.20234003.216$2DOI
100 1 $aFILIPPINI ALBA, J. M.
245 $aPedology in Precision Agriculture from a Brazilian context.$h[electronic resource]
260 $c2023
520 $aPrecision agriculture (PA) is advancing in Brazil concerning several crops, mainly for medium to large-sized farms, occasionally evolving towards automation and digital agriculture. Soil knowledge is fundamental in this process, requiring studies on a detailed scale greater than 1:5,000, and demanding overcoming soil taxonomy concepts. This review article presents and discusses the most effective methods of PA from a soil management perspective, inducing advances for farming and producers in Brazil. Topography, electrical conductivity, proximal and remote sensing, and productivity work outlined soil mapping and their relationship to soil. The modeling of topographic variables through artificial intelligence offers new perspectives. The soil's apparent electrical conductivity can work at various depths, providing information about several pedological parameters. Finally, proximal, and remote sensing techniques could simulate different soil attributes, potentially integrating productivity data on studying plant attributes. Despite some differences, the four themes are complementary, and integrating data through geographic information systems results in a consistent option for defining management zones.
650 $aAgricultura de Precisão
650 $aAnálise do Solo
650 $aSensoriamento Remoto
650 $aSolo
700 1 $aFLORES, C. A.
700 1 $aBERNARDI, A. C. de C.
773 $tRevista de Ciências Agrícolas$gv. 40, n. 3, e3216, Sept.-Dec. 2023.
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Registro original: |
Embrapa Clima Temperado (CPACT) |
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