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AgDataBox-IoT - application development for agrometeorological stations in smart

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 install...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10598058/
https://www.ncbi.nlm.nih.gov/pubmed/37885760
http://dx.doi.org/10.1016/j.mex.2023.102419
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author 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
author_facet 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
author_sort Hachisuca, Antonio Marcos Massao
collection PubMed
description 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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spelling pubmed-105980582023-10-26 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 MethodsX Agricultural and Biological Science 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). Elsevier 2023-10-14 /pmc/articles/PMC10598058/ /pubmed/37885760 http://dx.doi.org/10.1016/j.mex.2023.102419 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Agricultural and Biological Science
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
AgDataBox-IoT - application development for agrometeorological stations in smart
title AgDataBox-IoT - application development for agrometeorological stations in smart
title_full AgDataBox-IoT - application development for agrometeorological stations in smart
title_fullStr AgDataBox-IoT - application development for agrometeorological stations in smart
title_full_unstemmed AgDataBox-IoT - application development for agrometeorological stations in smart
title_short AgDataBox-IoT - application development for agrometeorological stations in smart
title_sort agdatabox-iot - application development for agrometeorological stations in smart
topic Agricultural and Biological Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10598058/
https://www.ncbi.nlm.nih.gov/pubmed/37885760
http://dx.doi.org/10.1016/j.mex.2023.102419
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