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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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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). |
format | Online Article Text |
id | pubmed-10598058 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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