An Internet of Things Solution for Smart Agriculture
Over the last decade, the increased use of information and communication technology (ICT) in agriculture applications has led to the definition of the concept of <i>precision farming</i> or equivalently <i>smart agriculture</i>. In this respect, the latest progress in connect...
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2021
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oai:doaj.org-article:e27e176bd8f040ca90a47915337d357c2021-11-25T16:04:02ZAn Internet of Things Solution for Smart Agriculture10.3390/agronomy111121402073-4395https://doaj.org/article/e27e176bd8f040ca90a47915337d357c2021-10-01T00:00:00Zhttps://www.mdpi.com/2073-4395/11/11/2140https://doaj.org/toc/2073-4395Over the last decade, the increased use of information and communication technology (ICT) in agriculture applications has led to the definition of the concept of <i>precision farming</i> or equivalently <i>smart agriculture</i>. In this respect, the latest progress in connectivity, automation, images analysis and artificial intelligence allow farmers to monitor all production phases and, due to the help of automatic procedures, determine better treatments for their farms. One of the main objectives of a smart agriculture system is to improve the yield of the field. From this point of view, the Internet of Things (IoT) paradigm plays a key role in precision farming applications due to the fact that the use of IoT sensors provides precise information about the health of the production. In this paper, the results of the recently concluded R&D project ENOTRIA TELLUS are reported. The project aimed at the development of all hardware/software components for implementing a precision farming architecture allowing the farmers to manage and monitor the vineyards’ health status. The smart architecture combines various sub-systems (web application, local controllers, unmanned aerial vehicles, multi-spectral cameras, weather sensors etc.) and electronic devices, each of them in charge of performing specific operations: remote data analysis, video processing for vegetation analysis, wireless data exchanges and weather and monitoring data evaluation. Two pilot sites were built where the smart architecture was tested and validated in real scenarios. Experimental activities show that the designed smart agriculture architecture allowed the farmers to properly schedule the various phases of cultivation and harvesting.Gianfranco GagliardiMarco LupiaGianni CarioFrancesco Cicchello GaccioVincenzo D’AngeloAntonio Igor Maria CosmaAlessandro CasavolaMDPI AGarticleprecision farmingsmart agricultureagriculture 4.0Internet of Thingsmulti-spectral analysisZigBeeAgricultureSENAgronomy, Vol 11, Iss 2140, p 2140 (2021) |
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precision farming smart agriculture agriculture 4.0 Internet of Things multi-spectral analysis ZigBee Agriculture S |
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precision farming smart agriculture agriculture 4.0 Internet of Things multi-spectral analysis ZigBee Agriculture S Gianfranco Gagliardi Marco Lupia Gianni Cario Francesco Cicchello Gaccio Vincenzo D’Angelo Antonio Igor Maria Cosma Alessandro Casavola An Internet of Things Solution for Smart Agriculture |
description |
Over the last decade, the increased use of information and communication technology (ICT) in agriculture applications has led to the definition of the concept of <i>precision farming</i> or equivalently <i>smart agriculture</i>. In this respect, the latest progress in connectivity, automation, images analysis and artificial intelligence allow farmers to monitor all production phases and, due to the help of automatic procedures, determine better treatments for their farms. One of the main objectives of a smart agriculture system is to improve the yield of the field. From this point of view, the Internet of Things (IoT) paradigm plays a key role in precision farming applications due to the fact that the use of IoT sensors provides precise information about the health of the production. In this paper, the results of the recently concluded R&D project ENOTRIA TELLUS are reported. The project aimed at the development of all hardware/software components for implementing a precision farming architecture allowing the farmers to manage and monitor the vineyards’ health status. The smart architecture combines various sub-systems (web application, local controllers, unmanned aerial vehicles, multi-spectral cameras, weather sensors etc.) and electronic devices, each of them in charge of performing specific operations: remote data analysis, video processing for vegetation analysis, wireless data exchanges and weather and monitoring data evaluation. Two pilot sites were built where the smart architecture was tested and validated in real scenarios. Experimental activities show that the designed smart agriculture architecture allowed the farmers to properly schedule the various phases of cultivation and harvesting. |
format |
article |
author |
Gianfranco Gagliardi Marco Lupia Gianni Cario Francesco Cicchello Gaccio Vincenzo D’Angelo Antonio Igor Maria Cosma Alessandro Casavola |
author_facet |
Gianfranco Gagliardi Marco Lupia Gianni Cario Francesco Cicchello Gaccio Vincenzo D’Angelo Antonio Igor Maria Cosma Alessandro Casavola |
author_sort |
Gianfranco Gagliardi |
title |
An Internet of Things Solution for Smart Agriculture |
title_short |
An Internet of Things Solution for Smart Agriculture |
title_full |
An Internet of Things Solution for Smart Agriculture |
title_fullStr |
An Internet of Things Solution for Smart Agriculture |
title_full_unstemmed |
An Internet of Things Solution for Smart Agriculture |
title_sort |
internet of things solution for smart agriculture |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/e27e176bd8f040ca90a47915337d357c |
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