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AgDataBox-IoT - application development for agrometeorological stations in smart.
Hachisuca, Antonio Marcos Massao; de Souza, Eduardo Godoy; Oliveira, Wendel Kaian Mendonça; Bazzi, Claudio Leones; Donato, Diandra Ganascini; Mendes, Isaque de Souza; Abdala, Mahuan Capeletto; Mercante, Erivelto.
Afiliação
  • Hachisuca AMM; Technological and Exact Sciences Center, Western Paraná State University, Cascavel, Paraná, Brazil.
  • de Souza EG; Technological and Exact Sciences Center, Western Paraná State University, Cascavel, Paraná, Brazil.
  • Oliveira WKM; Computer Science Department, Federal University of Technology - Paraná, Medianeira, Paraná, Brazil.
  • Bazzi CL; Computer Science Department, Federal University of Technology - Paraná, Medianeira, Paraná, Brazil.
  • Donato DG; Technological and Exact Sciences Center, Western Paraná State University, Cascavel, Paraná, Brazil.
  • Mendes IS; Technological and Exact Sciences Center, Western Paraná State University, Cascavel, Paraná, Brazil.
  • Abdala MC; Technological and Exact Sciences Center, Western Paraná State University, Cascavel, Paraná, Brazil.
  • Mercante E; Technological and Exact Sciences Center, Western Paraná State University, Cascavel, Paraná, Brazil.
MethodsX ; 11: 102419, 2023 Dec.
Article em En | MEDLINE | ID: mdl-37885760
Currently, Brazil is one of the world's largest grain producers and exporters. Agriculture has already entered its 4.0 version (2017), also known as digital agriculture, when the industry has entered the 4.0 era (2011). This new paradigm uses Internet of Things (IoT) techniques, sensors installed in the field, network of interconnected sensors in the plot, drones for crop monitoring, multispectral cameras, storage and processing of data in Cloud Computing, and Big Data techniques to process the large volumes of generated data. One of the practical options for implementing precision agriculture is the segmentation of the plot into management zones, aiming at maximizing profits according to the productive potential of each zone, being economically viable even for small producers. Considering that climate factors directly influence yield, this study describes the development of a sensor network for climate monitoring of management zones (microclimates), allowing the identification of climate factors that influence yield at each of its stages.•Application of the internet of things to assist in decision making in the agricultural production system.•AgDataBox (ADB-IoT) web platform has an Application Programming Interface (API).•An agrometeorological station capable of monitoring all meteorological parameters was developed (Kate 3.0).
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: MethodsX Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Brasil País de publicação: Holanda
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: MethodsX Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Brasil País de publicação: Holanda