AgDataBox-IoT—Managing IoT Data and Devices in Precision Agriculture

The growing global population intensifies food demand, challenging the agricultural sector to increase efficiency. Precision agriculture (PA) addresses this challenge by leveraging advanced technologies, such as the Internet of Things (IoT) and sensor networks, to collect and analyze field data. However, accessible tools for storing, managing, and analyzing these data are often limited. This study presents AgDataBox-IoT (ADB-IOT), a novel web application designed to fill this gap by providing a user-friendly platform for optimizing agricultural management. ADB-IOT integrates into the existing AgDataBox ecosystem, extending its capabilities with dedicated IoT functionalities. The application enables farmers to plan IoT networks, visualize and analyze field-collected data through thematic maps and graphs, and monitor and control IoT devices. This integrated approach facilitates informed decision-making, improves control over sustainable soil management, and enhances the overall efficiency of agricultural operations. As a freely accessible tool, ADB-IOT lowers the barrier to adopting precision agriculture technologies.

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Publication Details

Journal
AgriEngineering
Published
2026-02-03
DOI
https://doi.org/10.3390/agriengineering8020052
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
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article

AgDataBox-IoT—Managing IoT Data and Devices in Precision Agriculture

Antônio Marcos Massao Hachisuca, Wendel Kaian Oliveira Moreira, Ricardo Sobjak, Eduardo Godoy de Souza et al.
AgriEngineering
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article

AgDataBox-IoT—Managing IoT Data and Devices in Precision Agriculture

Antônio Marcos Massao Hachisuca, Wendel Kaian Oliveira Moreira, Ricardo Sobjak, Eduardo Godoy de Souza, Felipe Hister Franz, Kelyn Schenatto, Claudio Leones Bazzi
article en

Abstract

The growing global population intensifies food demand, challenging the agricultural sector to increase efficiency. Precision agriculture (PA) addresses this challenge by leveraging advanced technologies, such as the Internet of Things (IoT) and sensor networks, to collect and analyze field data. However, accessible tools for storing, managing, and analyzing these data are often limited. This study presents AgDataBox-IoT (ADB-IOT), a novel web application designed to fill this gap by providing a user-friendly platform for optimizing agricultural management. ADB-IOT integrates into the existing AgDataBox ecosystem, extending its capabilities with dedicated IoT functionalities. The application enables farmers to plan IoT networks, visualize and analyze field-collected data through thematic maps and graphs, and monitor and control IoT devices. This integrated approach facilitates informed decision-making, improves control over sustainable soil management, and enhances the overall efficiency of agricultural operations. As a freely accessible tool, ADB-IOT lowers the barrier to adopting precision agriculture technologies.

AgriEngineeringVol. 8(2)
Universidade Tecnológica Federal do Paraná (BR), Universidade Estadual do Oeste do Paraná (BR)
Zero hunger
Openalex Percentile: Top 68%
Smart Agriculture and AI
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