Low Cost IoT-Based System for Monitoring and Remote Controlling Aviaries

Mumbelli, Adenilson; Brito, Robison Cris; Pegorini, Vinicius; Priester, Luis Felipe

doi:10.1109/icict50521.2020.00090

Cited by 6 publications

(6 citation statements)

References 3 publications

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“…Our second activity is the architectural design. This activity is necessary because the solutions found so far in the literature [Mumbelli et al 2020], [Debauche et al 2020],…”

Section: Architectural Designmentioning

confidence: 99%

“…The imbalance of the environment is not only caused by the temperature. There are other variables that influence the welfare of poultry, such as lightening, harmful gases, air humidity, food quality and clean water [Mumbelli et al 2020].…”

Section: Introductionmentioning

confidence: 99%

“…Providing a healthy environment requires a monitoring and control practices, such as decision-making [Mumbelli et al 2020]. A human must decide when and how to solve aviary's problems, such as the need to warm up or cool down the environment, also controlling the process of renewing aviary's air and the supply of water and feed, without having any waste [Choukidar and Dawande 2017].…”

Section: Introductionmentioning

confidence: 99%

“…The search started on May 24, 2021 with the strings application on Google Scholar digital base. As a result, five studies [Mumbelli et al 2020], [Lashari et al 2018], [Raj and Jayanthi 2018], [Debauche et al 2020] and [Manshor et al 2019] were retrieved. Another similar paper found was [Feijó et al 2021], which describes a decision support system for agribusiness.…”

Section: Introductionmentioning

confidence: 99%

“…A recent systematic mapping showed that there are some studies on monitoring aviaries. The study [Mumbelli et al 2020] reports the elaboration of a low-cost prototype of a Poultry House Monitoring System. [Raj and Jayanthi 2018] provides some interesting results regarding the monitoring activity of poultry diseases.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Towards an IoT-Based Architecture for Monitoring andAutomated Decision-Making in an Aviary Environment

Lopes

Oliveira

Neto

2021

Anais Do XIII Congresso Brasileiro De Agroinformática (SBIAGRO 2021)

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Internet of Things (IoT) is a prominent technology in which everyday objects can be equipped with identifying, sensing, networking, and processing capabilities that allow them to communicate with each another and with other devices and services over the Internet to achieve some goal. In agribusiness, the use of technologies, such as IoT, is called precision livestock farming, which includes the use of different technologies in production and care of livestock animals. Brazil is one of the largest poultry producers in the world, being the first in exportation. Despite that, poultry production faces difficulties due to sensitivity that birds have to numerous environmental factors in aviaries, such as lightning, sounds, harmful gases, air humidity, food quality and clean water. When these variables are not well controlled, problems in meat quality and poultry production are likely to occur. As a result, farmers may face severe financial losses. Thus, providing a healthy environment is essential, and to achieve this, accurate monitoring and fast decision making are required in order to solve the problem as soon as possible. In this paper a detailed process of requirements elicitation and architectural design for IoT-Based aviary monitoring systems is proposed along with an informal literature review from the area. As preliminary results, we delivered a requirements document with functional and nonfunctional requirements closer to the real needs of farmers and an architectural proposal that can be used as a reference for further studies.

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“…Our second activity is the architectural design. This activity is necessary because the solutions found so far in the literature [Mumbelli et al 2020], [Debauche et al 2020],…”

Section: Architectural Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%