SciELO - Scientific Electronic Library Online

 
vol.40 número3Determination of the main flavonoids in ojo de gallo (Sanvitalia procumbens Lamarck) yerba extracts from three different sites as potential biomoleculesMorph-physiology and development of soybean cultivars under irrigation shift índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Journal

Artigo

Indicadores

Links relacionados

  • Em processo de indexaçãoCitado por Google
  • Não possue artigos similaresSimilares em SciELO
  • Em processo de indexaçãoSimilares em Google

Compartilhar


Revista de Ciencias Agrícolas

versão impressa ISSN 0120-0135versão On-line ISSN 2256-2273

Resumo

FILIPPINI-ALBA, José-Maria; FLORES, Carlos-Alberto  e  BERNARDI, Alberto C. de Campos. Pedology in Precision Agriculture from a Brazilian context. Rev. Cienc. Agr. [online]. 2023, vol.40, n.3, e3216.  Epub 10-Nov-2023. ISSN 0120-0135.  https://doi.org/10.22267/rcia.20234003.216.

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.

Palavras-chave : Soils; electric conductivity; relief; remote sensing; productivity; precision farming..

        · resumo em Espanhol     · texto em Inglês     · Inglês ( pdf )