For the design of complex questions and creative concepts on a meta-level, the knowledge of systems and interaction processes, as well as their modes of action, is essential. It already helps a lot for design thinking that can analyze a system in dept and interpret it in your way. Because that means you can see the forest and not the trees.

In the past, farmers were not using much machines and mostly doing the work on its own. In other words, it always required considerable amounts of time and energy. However, as technology advances, the agri-environment is also getting smarter. Smart Farming refers to the modern use of information and communication technologies in agriculture. To be clear, Smart Farming refers to a farm that can automatically remotely control the growing environment of crops and livestock through ICT technologies in greenhouses, barns, and orchards.

After choosing a topic, I explored the nature and properties of systems. I selected three representative circumstances as Greenhouse, livestock farming, and orchards of the many environments of Smart Farming. Then I explored and visually summarized the facilities operating within and their relationships.

A processing program that allows users to interact with how the system works.

I developed an abstract structural plan with elements, their functions, connections, and rules of interaction. The output in a design process is generated with a system character.





The Smart Farming System consists of three elements(A, B, and C). Element A is grouped with a 'Smart Sensor' and monitors certain properties such as temperature, moisture, and soil information. Element B is a 'Smart actuator' such as a thermostat, lighting controller, and fan. Element C is a 'Smart analysis and planning'. Each element has a different size and can not always be present. The Smart Farming systems, which have a similar character, are in contact with each other, and s diverse forms like the top video.



A Network consists of many Smart Farming groups.

The first click shows the sequence and the second click shows the relationship between Smart Farming groups. Every time clicking two different relationships are shown in turns. If the groups are close to each other, they are relevant. Lines show how relevant groups are to each other. The whole form and size of the network depend on the situation.

Sometimes I can't see the forest for the trees. I had to see the entire image to explore and analyze the system though. In that sense, I could learn widely system principles, interaction processes, and how to see the forests through this project.

- Duration : 08 - 09 February 2020
- Location : University of the Arts Bremen (HFK), Germany

The exhibition featured current projects and works by HFK students.