Environmental Measurement Technology: An Approach to the Amazonian Environment

Carvalho, Andre das Neves; Andrade, Edson do Socorro Silva; Almeida, José Felipe; Costa, Carlos Araújo da

doi:10.1109/tla.2018.8362134

Cited by 12 publications

(5 citation statements)

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“…Another (B), is located at a fragmented forest around A, but no planning its arborization form. Also, measurements were made in a parking lot (C), near to A, and inside a preserved natural forest (D), with difficult access for people, so far 100 km from A, B, and C. To obtain data on environmental variables, we employ a mini mobile weather station, shipped with sensors, simple hardware, and compatibility with record storage [17]. The variables considered as an object of study are air temperature (T), relative air humidity (RH), dew point temperature (Td) and wind speed (v).…”

Section: Methodsmentioning

confidence: 99%

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Wind Effect on Microclimate and Thermal Comfort Index in Open-air Public Spaces in the Brazilian Rainforest Cities

Cruz

Costa

Suzuki

et al. 2020

Int J Innov Educ Res

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Amazon cities and rural villages came to fragment its green spaces, implying changes in the quality of life of its population. Despite clear warning signs, this picture of environmental degradation processes has affected flora and fauna with severe consequences throughout the forest, from points that tend to widen over time. Supported on a literature review of microclimate research in environments, which is based on the dew point temperature, another suitability has been formulated considering the importance of wind speed. By using computational records, when this variable is contained in the characterization of a person's sense of well-being in a given outdoor environment, a thermal comfort index can be established to assist in planning the construction of appropriate leisure areas, as well as identifying unhealthy environments. The results were obtained in different places, during drier summer months in the Amazon rainforest, around the city of Belém, located in the extreme north of Brazil. The best responses were registered in an environment characterized by arboreal architecture planning, followed by an environment with an intact vegetation forest.

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Section: Methodsmentioning

confidence: 99%

“…The data collected were measured and stored in the database using the computational module [17], show in Figure 3.…”

Section: Methodsmentioning

confidence: 99%

Wind Effect on Microclimate and Thermal Comfort Index in Open-air Public Spaces in the Brazilian Rainforest Cities

Cruz

Costa

Suzuki

et al. 2020

Int J Innov Educ Res

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“…The greenhouses that use manual humidity monitoring systems are less efficient and cause uneasiness to the farmers. Furthermore, a lot of other problems occur because proper growth of plants demands constant monitoring of humidity and temperature [75]. For example, apple cultivation is one of the highest money-making activities as compared to other fruits and food crops if it is done through modern farming methods.…”

Section: A: Humidity Monitoringmentioning

confidence: 99%

IoT Based Smart Greenhouse Framework and Control Strategies for Sustainable Agriculture

et al. 2022

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In recent years, the Internet of Things (IoT) has become one of the most familiar names creating a benchmark and scaling new heights. IoT an indeed future of the communication that has transformed the objects (things) of the real world into smarter devices. With the advent of IoT technology, this decade is witnessing a transformation from traditional agriculture approaches to the most advanced ones. In perspective to the current standing of IoT in agriculture, identification of the most prominent application of IoT-based smart farming i.e. greenhouse has been highlighted and presented a comprehensive systematic literature review (SLR) in the Greenhouse field. The SLR has been conducted by reviewing the articles published between 2015-2022. This SLR analyses 32 relevant studies, which were selected manually from well-reputed digital databases. The primary objective of this SLR is to conduct state-of-the-art research to analyze and identify the current research trends, opportunities, challenges, and gaps in IoT-based greenhouse farming. A rigorous discussion on IoT-based greenhouse applications, sensors/devices, and communication protocols have been presented. Furthermore, this research also presents an inclusive review of IoT-based greenhouse sensors/devices and communication protocols. Moreover, we have also presented a rigorous discussion on smart greenhouse farming challenges and security issues as well as identified future research directions to overcome these challenges. This research has explained many aspects of the technologies involved in IoT-based greenhouse and proposed network architecture, topology, and platforms. In the end, review results have been summarized by presenting an IoT-based greenhouse farm management taxonomy and attacks taxonomy.INDEX TERMS Internet of things (IoT), greenhouse, applications, sensors, communication protocols, cloud computing, big data analytics, security attacks

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“…Nowadays, there is various types of equipment involving the monitoring of environmental variables, but most of them are imported and have a high financial cost, which discourages their use in various applications. Thus, the development of low-cost technologies and open technologies are significant for conducting microscale studies and enabling the monitoring of environmental variables in locations not monitored by financially accessible sensors [7]. The use of wireless and integrated circuit sensors and microprocessors has stimulated the creation of smart sensor networks that operate remotely and autonomously, facilitating the collection of environmental data [8].…”

Section: Introductionmentioning

confidence: 99%

Cost-Effective Platform for Particulate Matter Rapid Monitoring

Silva

Almeida

Marques

et al. 2020

Int J Innov Educ Res

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Particles in the air with volume ≤ 2.5 μm3 have been classified as carcinogenic by the World Health Organization (WHO). Therefore, rapid monitoring systems are crucial to obtain information about particulate matter (PM) concentrations and make this information publicly available. Supported by WHO criteria, this text focuses on the development of a field-portable cost-effective platform for rapid monitoring, data acquisition of particulate matter (PM10 and PM2.5) and measurements of environmental variables (relative air humidity and temperature) at the micrometeorological level, in addition to providing access via the Internet of Thing (IoT). The platform was tested, as well as validating its results when compared to those made available at the National Meteorology Institute-INMET (Instituto Nacional de Meteorologia). Based on this technology, tests and measurements have been performed in the local presence of the population and vehicle traffic, in order to identify the concentrations of PM in public places. Between the results obtained, the device recorded higher temperature and low humidity, at 12 noon, and the average hourly reached 175.3 µg/m3 (PM10) and 164.2 µg/m3 (PM2.5), which means a warning sign. This computational platform would be useful for cost-effective and rapid quantification of PM density even in field and resource-poor settings.

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Environmental Measurement Technology: An Approach to the Amazonian Environment

Cited by 12 publications

References 0 publications

Wind Effect on Microclimate and Thermal Comfort Index in Open-air Public Spaces in the Brazilian Rainforest Cities

Wind Effect on Microclimate and Thermal Comfort Index in Open-air Public Spaces in the Brazilian Rainforest Cities

IoT Based Smart Greenhouse Framework and Control Strategies for Sustainable Agriculture

Cost-Effective Platform for Particulate Matter Rapid Monitoring

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