FiksuTila

Smart Farm – Bringing the Future of Agriculture into Practice

Adopting smart farming technologies does not always require major investments. The Smart Farm project provides farmers in Central Finland with access to cost-effective technologies and practical skills that can help improve farm efficiency and support better decision-making.

Farms already generate large amounts of data from agricultural machinery, farm management software and various measuring devices. However, this data is not always used to its full potential. At the same time, new technologies may seem complex and expensive.

The Smart Farm project addresses these challenges by organising practical training courses, workshops, webinars and demonstrations. The training focuses particularly on affordable, open-source and do-it-yourself (DIY) solutions. The aim is to help farmers assess the benefits and suitability of different technologies for their own farms before making investment decisions.

What Does the Project Do?

The project offers five training modules that explore the opportunities of smart farming through practical examples.

Smart Farming and Data-Driven Decision-Making: How can data already generated on farms be used more effectively? The training covers the use of weather, satellite and agricultural machinery data, as well as planning data management practices for individual farms.

RTK Positioning and Base Station Construction: How can tractors achieve centimetre-level positioning accuracy without expensive subscription fees? The training introduces RTK positioning and provides hands-on experience in building an affordable base station using solutions such as RTKBase software and the RTK2GO service.

Autosteer and Precision Agriculture: Can an older tractor be equipped with an automatic steering system? The training introduces AgOpenGPS and other solutions that can help farmers make more efficient use of their existing machinery.

IoT Sensors on Farms: How can soil moisture, temperature or grain storage conditions be monitored using affordable sensors? The training introduces measuring devices, wireless data transmission and the use of measurement data to support practical decision-making.

Digital Twins in Crop Production Planning: Can the effects of different farming practices be assessed before the growing season begins? The training introduces a digital twin based on the APSIM crop simulation model, which can be used to compare the potential effects of factors such as sowing dates and fertilisation.

Who Is the Project For?

The project is aimed at farmers and agricultural entrepreneurs in Central Finland, particularly those interested in adopting new technologies on their farms.

No previous experience with smart farming technologies is required to participate in the training. Participation is free of charge.

The project aims to strengthen farmers' skills and lower the barriers to adopting new technologies. In the long term, this will support farm profitability, resource efficiency and sustainable agricultural production.

Project Implementation

The project will be implemented in Central Finland during 2026–2028. It is carried out by the Smart Agriculture Research Group at the Institute of Bioeconomy, Jamk University of Applied Sciences.

The project builds on expertise gained through Jamk's previous research and development projects and makes use of the practical learning environments at the Tarvaala campus.

The project is funded by the European Agricultural Fund for Rural Development (EAFRD).

Further Information

Petri Linna
Project Manager, Technology Specialist
Jamk University of Applied Sciences, Institute of Bioeconomy
petri.linna@jamk.fi
+358 45 183 9630