IoT and edge analytics for farming equipment
Within IoT, the research on Edge analytics that is done in agricultural domain is very focused to the USA market. In this Master thesis you will explore applications for Edge analytics within the Dutch context.
- Data & AI
- Internet of Things
- Software & Architecture
What do you get
- A challenging assignment within a practical environment
- € 1000 compensation, € 500 + lease car or € 600 + living space
- Professional guidance
- Courses aimed at your graduation period
- Support from our academic Research center at your disposal
- Two vacation days per month
What you will do
- 65% Research
- 10% Analyze, design, realize
- 25% Documentation
In agricultural companies there is a steady increase in amount of farming equipment and machinery with the purpose of optimizing day to day business. Many of these devices are proprietary and the data is kept and analyzed on the device (think i.e. of environmental control system for barns) which is limiting, or is fully connected to Cloud which is costly and limited by volume of data and infrastructure. But, smart devices and smart machinery that are utilizing IoT are increasingly looking into edge analytics as the most ideal solution to solve this bottleneck. Edge analytics is tightly coupled with (sitting on or close to) IoT device, so it can both collect, process and analyze right at the source.
Edge analytics is a topic that is being researched within the IoT context for years. However, its application in agricultural domain is limited. The research on this topic that is happening in agricultural domain is very focused to USA market, which differs significantly from the Dutch market. In this research, your goal will be to explore applications for edge analytics within the Dutch context. Depending on your preference, you can either focus on farms or hardware provider. With focus on farms, your focus will be on fitting of multi-access or mobile edge computing (MEC) within the existing systems.
If your preference lies on the side of hardware provider, you will be assessing the added value of using edge analytics for data analytics and decision support within their devices.
The research can be done as general research, or in collaboration with one of Info Supports client which provides farming equipment.
About Info Support Research Center
We anticipate on upcoming and future challenges and ensures our engineers develop cutting-edge solutions based on the latest scientific insights. Our research community proactively tackles emerging technologies. We do this in cooperation with renowned scientists, making sure that research teams are positioned and embedded throughout our organisation and our community, so that their insights are directly applied to our business. We truly believe in sharing knowledge, so we want to do this without any restrictions.
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