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Distributed sensing network using ultra low-power lora nodes: a case study in intensive almond groves

Detalhes bibliográficos
Autor(a) principal: Candeias, Antonino
Data de Publicação: 2021
Outros Autores: Dionísio, Rogério Pais
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/10400.11/7768
Resumo: The digitization of various agricultural processes is a growing reality in Portugal and in the world. Some of the application areas use sensor networks to monitor several parameters, including monitoring plant growth, atmospheric conditions or optimizing the irrigation process. However, in the agricultural environment where energy sources may be scarce, the implementation of an autonomous sensor network must consider the limitations imposed by the energy consumption of sensor nodes, powered by batteries. Moreover, spatial distribution models must be tested to optimize the number of sensors and their placement in the field. This paper presents an ongoing work, being developed in partnership with a company, owner of an extensive almond grove in the region of Idanha-a-Nova and Fundão, Portugal. The objective is to implement a sensor network, making use of a LoRa technology and battery-powered nodes, and collect information on various parameters associated with intensive almond trees groves. The proposed sensor network is part of an IoT middleware framework that captures multiple data from different sources. Through smart farming, precision agriculture, real time monitoring and business intelligence solutions, the expected results are productivity increase and optimization of the use of resources in the almond cultivation process and a significative reduction of the environmental impact.
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spelling Distributed sensing network using ultra low-power lora nodes: a case study in intensive almond grovesSensor networkMQTTEmbedded systemNode-REDThe things networkThe digitization of various agricultural processes is a growing reality in Portugal and in the world. Some of the application areas use sensor networks to monitor several parameters, including monitoring plant growth, atmospheric conditions or optimizing the irrigation process. However, in the agricultural environment where energy sources may be scarce, the implementation of an autonomous sensor network must consider the limitations imposed by the energy consumption of sensor nodes, powered by batteries. Moreover, spatial distribution models must be tested to optimize the number of sensors and their placement in the field. This paper presents an ongoing work, being developed in partnership with a company, owner of an extensive almond grove in the region of Idanha-a-Nova and Fundão, Portugal. The objective is to implement a sensor network, making use of a LoRa technology and battery-powered nodes, and collect information on various parameters associated with intensive almond trees groves. The proposed sensor network is part of an IoT middleware framework that captures multiple data from different sources. Through smart farming, precision agriculture, real time monitoring and business intelligence solutions, the expected results are productivity increase and optimization of the use of resources in the almond cultivation process and a significative reduction of the environmental impact.Repositório Científico do Instituto Politécnico de Castelo BrancoCandeias, AntoninoDionísio, Rogério Pais2021-12-27T10:36:44Z20212021-01-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10400.11/7768enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-26T14:19:57Zoai:repositorio.ipcb.pt:10400.11/7768Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T21:34:12.158375Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Distributed sensing network using ultra low-power lora nodes: a case study in intensive almond groves
title Distributed sensing network using ultra low-power lora nodes: a case study in intensive almond groves
spellingShingle Distributed sensing network using ultra low-power lora nodes: a case study in intensive almond groves
Candeias, Antonino
Sensor network
MQTT
Embedded system
Node-RED
The things network
title_short Distributed sensing network using ultra low-power lora nodes: a case study in intensive almond groves
title_full Distributed sensing network using ultra low-power lora nodes: a case study in intensive almond groves
title_fullStr Distributed sensing network using ultra low-power lora nodes: a case study in intensive almond groves
title_full_unstemmed Distributed sensing network using ultra low-power lora nodes: a case study in intensive almond groves
title_sort Distributed sensing network using ultra low-power lora nodes: a case study in intensive almond groves
author Candeias, Antonino
author_facet Candeias, Antonino
Dionísio, Rogério Pais
author_role author
author2 Dionísio, Rogério Pais
author2_role author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico de Castelo Branco
dc.contributor.author.fl_str_mv Candeias, Antonino
Dionísio, Rogério Pais
dc.subject.por.fl_str_mv Sensor network
MQTT
Embedded system
Node-RED
The things network
topic Sensor network
MQTT
Embedded system
Node-RED
The things network
description The digitization of various agricultural processes is a growing reality in Portugal and in the world. Some of the application areas use sensor networks to monitor several parameters, including monitoring plant growth, atmospheric conditions or optimizing the irrigation process. However, in the agricultural environment where energy sources may be scarce, the implementation of an autonomous sensor network must consider the limitations imposed by the energy consumption of sensor nodes, powered by batteries. Moreover, spatial distribution models must be tested to optimize the number of sensors and their placement in the field. This paper presents an ongoing work, being developed in partnership with a company, owner of an extensive almond grove in the region of Idanha-a-Nova and Fundão, Portugal. The objective is to implement a sensor network, making use of a LoRa technology and battery-powered nodes, and collect information on various parameters associated with intensive almond trees groves. The proposed sensor network is part of an IoT middleware framework that captures multiple data from different sources. Through smart farming, precision agriculture, real time monitoring and business intelligence solutions, the expected results are productivity increase and optimization of the use of resources in the almond cultivation process and a significative reduction of the environmental impact.
publishDate 2021
dc.date.none.fl_str_mv 2021-12-27T10:36:44Z
2021
2021-01-01T00:00:00Z
dc.type.driver.fl_str_mv conference object
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status_str publishedVersion
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url http://hdl.handle.net/10400.11/7768
dc.language.iso.fl_str_mv eng
language eng
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eu_rights_str_mv openAccess
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dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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