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IoT Sensing Platform as a Driver for Digital Farming in Rural Africa

Small-scale farming can benefit from the usage of information and communication technology (ICT) to improve crop and soil management and increase yield. However, in order to introduce digital farming in rural areas, related ICT solutions must be viable, seamless and easy to use, since most farmers a...

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Detalles Bibliográficos
Autores principales: Oliveira-Jr, Antonio, Resende, Carlos, Pereira, André, Madureira, Pedro, Gonçalves, João, Moutinho, Ruben, Soares, Filipe, Moreira, Waldir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7348922/
https://www.ncbi.nlm.nih.gov/pubmed/32575891
http://dx.doi.org/10.3390/s20123511
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author Oliveira-Jr, Antonio
Resende, Carlos
Pereira, André
Madureira, Pedro
Gonçalves, João
Moutinho, Ruben
Soares, Filipe
Moreira, Waldir
author_facet Oliveira-Jr, Antonio
Resende, Carlos
Pereira, André
Madureira, Pedro
Gonçalves, João
Moutinho, Ruben
Soares, Filipe
Moreira, Waldir
author_sort Oliveira-Jr, Antonio
collection PubMed
description Small-scale farming can benefit from the usage of information and communication technology (ICT) to improve crop and soil management and increase yield. However, in order to introduce digital farming in rural areas, related ICT solutions must be viable, seamless and easy to use, since most farmers are not acquainted with technology. With that in mind, this paper proposes an Internet of Things (IoT) sensing platform that provides information on the state of the soil and surrounding environment in terms of pH, moisture, texture, colour, air temperature, and light. This platform is coupled with computer vision to further analyze and understand soil characteristics. Moreover, the platform hardware is housed in a specifically designed robust casing to allow easy assembly, transport, and protection from the deployment environment. To achieve requirements of usability and reproducibility, the architecture of the IoT sensing platform is based on low-cost, off-the-shelf hardware and software modularity, following a do-it-yourself approach and supporting further extension. In-lab validations of the platform were carried out to finetune its components, showing the platform’s potential for application in rural areas by introducing digital farming to small-scale farmers, and help them delivering better produce and increasing income.
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spelling pubmed-73489222020-07-22 IoT Sensing Platform as a Driver for Digital Farming in Rural Africa Oliveira-Jr, Antonio Resende, Carlos Pereira, André Madureira, Pedro Gonçalves, João Moutinho, Ruben Soares, Filipe Moreira, Waldir Sensors (Basel) Article Small-scale farming can benefit from the usage of information and communication technology (ICT) to improve crop and soil management and increase yield. However, in order to introduce digital farming in rural areas, related ICT solutions must be viable, seamless and easy to use, since most farmers are not acquainted with technology. With that in mind, this paper proposes an Internet of Things (IoT) sensing platform that provides information on the state of the soil and surrounding environment in terms of pH, moisture, texture, colour, air temperature, and light. This platform is coupled with computer vision to further analyze and understand soil characteristics. Moreover, the platform hardware is housed in a specifically designed robust casing to allow easy assembly, transport, and protection from the deployment environment. To achieve requirements of usability and reproducibility, the architecture of the IoT sensing platform is based on low-cost, off-the-shelf hardware and software modularity, following a do-it-yourself approach and supporting further extension. In-lab validations of the platform were carried out to finetune its components, showing the platform’s potential for application in rural areas by introducing digital farming to small-scale farmers, and help them delivering better produce and increasing income. MDPI 2020-06-21 /pmc/articles/PMC7348922/ /pubmed/32575891 http://dx.doi.org/10.3390/s20123511 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Oliveira-Jr, Antonio
Resende, Carlos
Pereira, André
Madureira, Pedro
Gonçalves, João
Moutinho, Ruben
Soares, Filipe
Moreira, Waldir
IoT Sensing Platform as a Driver for Digital Farming in Rural Africa
title IoT Sensing Platform as a Driver for Digital Farming in Rural Africa
title_full IoT Sensing Platform as a Driver for Digital Farming in Rural Africa
title_fullStr IoT Sensing Platform as a Driver for Digital Farming in Rural Africa
title_full_unstemmed IoT Sensing Platform as a Driver for Digital Farming in Rural Africa
title_short IoT Sensing Platform as a Driver for Digital Farming in Rural Africa
title_sort iot sensing platform as a driver for digital farming in rural africa
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7348922/
https://www.ncbi.nlm.nih.gov/pubmed/32575891
http://dx.doi.org/10.3390/s20123511
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