Digital Solutions in the Bioeconomy and Circular Economy - Häme University of applied sciences
Digital Solutions in the Bioeconomy and Circular Economy
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Digital Solutions in the Bioeconomy and Circular Economy

Digital solutions in the bioeconomy and circular economy

The research area Digital Solutions in the Bioeconomy and Circular Economy applies data analytics, machine learning and the methods and tools of IoT to the digitalisation of different processes in the bioeconomy and circular economy. The processes are related to, for example, food production chains, carbon sequestration research, circular economy value chains and logistics. By processing and analysing data generated by advanced sensing and measurements, these processes can be better monitored, optimised and developed.

Research related to digitalisation in the bioeconomy is currently based on the Bioeconomy 4.0 and Carbon 4.0 project entities implemented at HAMK and funded by the Ministry of Education and Culture, and other projects related to these themes. In the projects, HAMK Smart works closely together with the HAMK Bio, HAMK Edu and HAMK Tech Research Units. The video below presents three examples of the results of cooperation in the digital bioeconomy area.

A concrete example of HAMK Smart’s applied research is the field observatory application, implemented in cooperation with the Finnish Meteorological Institute, the Finnish Environment Institute and the Baltic Sea Action Group.

 

BIOHILA

Precise biomass information for agricultural carbon budget calculations by combining satellite and field data with ecosystem modelling (BIOHILA)

  • Consortium: Finnish Meteorological Institute (FMI), Häme University of Applied Sciences (HAMK), Biocode Oy, Valio Oy
  • Funded by The Ministry of Agriculture and Forestry as part of the ’Catch the carbon’ -programme

BIOECONOMY 4.0

Bioeconomy 4.0 focuses on the utilisation of data analysis and digitalisation methods in the value chains of food production. The project is implemented in cooperation between four different HAMK Research Units.

In the Bioeconomy 4.0 project, HAMK Smart conducts research related to the analysis and utilisation of data with the help of data produced by sensors in primary production, satellite data, drone images and other data, to mention a few examples. Data analytics has been used in research themes related to milk production, animal welfare, arable farming, forestry and urban green areas in cooperation with partners in business and other research institutes.

GOOD FOR CATTLE – quality silage by temperature monitoring and antimicrobial peptides in agriculture

The project is coordinated by the University of Oulu. The HAMK Smart and HAMK Bio Research Units contribute to the implementation of the project through their involvement in the development and analysis of sensor monitoring.

JÄRKKI – Centralised recycling of nutrients in wastewater sludges
Project page (In Finnish)

  • In progress: 1 January 2021 – 31 December 2022
  • Funded by: Ministry of the Environment
  • The project is coordinated by Gasum Oy. The HAMK Smart and HAMK Bio Research Units contribute to the implementation of the project.

VÄLKKY – Green Smart Services in Developing Circular Economy SMEs
Project page (In Finnish)

The goal of the project is to support the small and medium sized enterprises operating in the area of circular economy in Häme region in their efforts related to digitalization and data utilization. The actions and tasks of the project are targeted to support the companies to recover from the influences of the COVID-19 pandemic by developing new green growth through digitalization and digital service development. The project develops new knowledge and capabilities for the circular economy sector in multidisciplinary collaboration between HAMK, companies, and other stakeholders.

 

This section shows examples of projects implemented by students.

IoT-based measurement of barn conditions and the associated transfer, management and pre-processing of data in a Microsoft Azure environment. The project was implemented by IFSC exchange students Giovanni Bruno da Silva, Letícia Ventura dos Santos and Thomas Cordeiro Paulo during spring 2019. Barn 4.0 Project Report.pdf

Research of cow behaviour with the help of computer-aided image recognition. The project was implemented by IFSC exchange student Leonardo Santiago Benitez Pereira during autumn 2019. In his work, Leonardo used the Python programming environment and Keras and TensorFlow libraries. An article has been written on the results, and it is currently under peer review. The article will be linked to the page after it has been published.

In the development project module of the third year of Bioeconomy Engineer education, a 3D computational model of a silage stack for the use of the Good for Cattle project was designed and implemented. Students used several 3D modelling programmes to create the basic geometry of a silo in the development project, and the heat conduction of the models was simulated using Matlab and Ansys Discovery Live. Read more about the implementation in this blog post.

 

Niemitalo, O., Koskinen, E., Hyväluoma, J.Lientola, E.Lindberg, H.Koskela, O. & Kunttu, I. (2021). A Year Acquiring and Publishing Drone Aerial Images in Research on Agriculture, Forestry, and Private Urban Gardens in Technology Innovation Management Review February 2021 issue – Digital Innovations in the Bioeconomy.

Pölönen, I., Suokannas, A. & Juntunen, A. (2021). Cloud-Based Approach for Tracking and Monitoring of Hay Bales in Smart Agriculture in Technology Innovation Management Review February 2021 issue – Digital Innovations in the Bioeconomy.

Koskela, O., Dempers, C., Kymäläinen, M., & Nummela, J. (2021). Simulating a Biorefinery Ecosystem to Manage and Motivate Sustainable Regional Nutrient Circulation in Technology Innovation Management Review February 2021 issue – Digital Innovations in the Bioeconomy.

  • Gert Hattingh
  • Gert Hattingh
  • Senior Research Engineer
  • Tel. +358 50310 5418
  • Research Design, Electronic design (Basic), Sensors, Data management, Data Analysis, Practical applications of sensors, Prototyping
  • Olli Niemitalo
  • Olli Niemitalo
  • Senior Data Scientist
  • Digital signal processing, bioinformatics, algorithms

HÄME UNIVERSITY OF APPLIED SCIENCES