Internet of Things

2021 ◽  
pp. 19-43
Author(s):  
Imran Khan ◽  
Lídia Oliveira ◽  
Ana Carla Amaro ◽  
Ana Melro
Keyword(s):  
Cloud Computing ◽  
Cultural Heritage ◽  
First Generation ◽  
Safety Monitoring ◽  
Third Generation ◽  
Technological Solution ◽  
Monitoring And Control ◽  
Iot Applications ◽  
Societal Challenges ◽  
And Control

The potential of IoT applications is now recognized, namely the use the IoT as a technological solution for societal challenges such as in health, education, industries, tourism, agricultural, and for this chapter concern, in cultural heritage dissemination. This chapter presents the different evolutionary phases of IoT and its different generations, first-generation experienced embedded things, second-generation a complex social web of things, and third-generation experience the autonomous social objects and cloud computing. This chapter analyzes the characteristics of IoT, for example interconnectivity, intelligence, heterogeneity, safety, monitoring and control, big data and analytics, information sharing and collaboration. Furthermore, this chapter describes the different usage of IoT scenarios applications in some specific areas, such as agriculture, cultural heritage, and tourism.

scholarly journals Aflatoxin detection on direction of the 4.0 age at 3.0 costs

2019 ◽  
Vol 7 (7) ◽  
pp. 338-346 ◽  
Author(s):  
Mariana Matulovic ◽  
Flávio José de Oliveira Morais ◽  
Angela Vacaro de Souza ◽  
Cleber Aalexandre de Amorim ◽  
Luiz Fernando Sommaggio Coletta
Keyword(s):  
Machine Learning ◽  
Remote Sensing ◽  
Cloud Computing ◽  
Environmental Variables ◽  
Low Cost ◽  
Machine Learning Algorithms ◽  
Toxic Metabolite ◽  
Monitoring And Control ◽  
Carcinogenic Effects ◽  
And Control

Articulate the most diverse and sophisticated technologies, such as Remote Sensing, Big Data, Cloud Computing, Internet of Things, 3D Printing, among others, is part of universe 4.0, whether industrial or agricultural. Focusing on agricultural context, this paper proposes a low-cost 4.0 device to perform the monitoring and control of certain environmental variables for the detection of aflatoxins in peanut crops. Aflatoxins are toxic metabolite of fungi genus Aspergillus that can cause toxic and carcinogenic effects in humans and animals. The device developed was able to monitor temperature and humidity variations helping the aflatoxins identification. The equipment portability allows its use in silos with encapsulation via Additive Manufacturing, besides the aflatoxin prediction from Machine Learning algorithms.

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