IoT-based applications for Smart Cities and Smart Farming

The Internet of Things (IoT) allows people and objects to be connected at any time, from anywhere, using standard networks and protocols to access innovative smart services. Sensors of different natures in urban and farming spaces coupled with ubiquitous GPS-equipped smartphones, in addition to the resources available in the cloud, allow the automation of cities and farms to improve people’s quality of life and build smarter societies.
The use of a variety of combined technologies – such as IoT, cloud computing, big data analytics (e.g., machine learning techniques) and network softwarization – make it possible to build a myriad of new smart applications to the benefit of our society. Cities are becoming smarter as new and existing technologies are being increasingly used for the development of a substantial variety of services and applications for citizens and governments.
Smart Cities involve not only technologies but also people and government working together to match infrastructure investments with human and social capital, which allow citizens to have a key role in the governance processes. On the other hand, in farms, the use of technology to add intelligence to the agriculture and livestock activities still has a considerable potential to generate significant advances. Precision farming, also known as Farming or Agriculture 4.0, depends on innovative technologies to increase the productivity of crops and animal products, to make efficient use of precious resources like water, and to decrease the number of chemical substances used (e.g., medicine and pesticides).
The central objective of this research project is to investigate the use of IoT and related technologies in the development of innovative applications for smart cities and smart farming. As specific objectives, the proposal aims to study, specification, development, and test of:
1) IoT-based technologies, protocols, services and platforms for smart applications such as Smart Cities and Smart Farming;
2) Data storage and processing technologies combining both cloud and fog computing;
3) Concepts and technologies related to the network softwarization paradigm;
4) Smart algorithms, techniques and approaches for knowledge generation and decision-making from the gigantic amount of data generated by IoT-based applications; and
5) Techniques and approaches for the development of distributed systems and data modelling of IoT-based smart applications.

Coordinator: Prof. Dr. Carlos Alberto Kamienski
E-mail: carlos.kamienski@ufabc.edu.br

Coordinator’s Curriculum Lattes (research projects, publications and academic info)

Coordinator’s research grants, scholarships and main publications (FAPESP)

IoT-based applications for Smart Cities and Smart Farming

The Internet of Things (IoT) allows people and objects to be connected at any time, from anywhere, using standard networks and protocols to access innovative smart services. Sensors of different natures in urban and farming spaces coupled with ubiquitous GPS-equipped smartphones, in addition to the resources available in the cloud, allow the automation of cities and farms to improve people’s quality of life and build smarter societies.
The use of a variety of combined technologies – such as IoT, cloud computing, big data analytics (e.g., machine learning techniques) and network softwarization – make it possible to build a myriad of new smart applications to the benefit of our society. Cities are becoming smarter as new and existing technologies are being increasingly used for the development of a substantial variety of services and applications for citizens and governments.
Smart Cities involve not only technologies but also people and government working together to match infrastructure investments with human and social capital, which allow citizens to have a key role in the governance processes. On the other hand, in farms, the use of technology to add intelligence to the agriculture and livestock activities still has a considerable potential to generate significant advances. Precision farming, also known as Farming or Agriculture 4.0, depends on innovative technologies to increase the productivity of crops and animal products, to make efficient use of precious resources like water, and to decrease the number of chemical substances used (e.g., medicine and pesticides).
The central objective of this research project is to investigate the use of IoT and related technologies in the development of innovative applications for smart cities and smart farming. As specific objectives, the proposal aims to study, specification, development, and test of:
1) IoT-based technologies, protocols, services and platforms for smart applications such as Smart Cities and Smart Farming;
2) Data storage and processing technologies combining both cloud and fog computing;
3) Concepts and technologies related to the network softwarization paradigm;
4) Smart algorithms, techniques and approaches for knowledge generation and decision-making from the gigantic amount of data generated by IoT-based applications; and
5) Techniques and approaches for the development of distributed systems and data modelling of IoT-based smart applications.

Coordinator: Prof. Dr. Carlos Alberto Kamienski
E-mail: carlos.kamienski@ufabc.edu.br

Coordinator’s Curriculum Lattes (research projects, publications and academic info)

Coordinator’s research grants, scholarships and main publications (FAPESP)